/*
- * Copyright (c) 2014 Samsung Electronics Co., Ltd.
+ * Copyright (c) 2017 Samsung Electronics Co., Ltd.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
// EXTERNAL INCLUDES
#include <cstring>
#include <stddef.h>
+#include <cmath>
+#include <limits>
#include <dali/integration-api/debug.h>
+#include <dali/public-api/common/dali-vector.h>
+#include <dali/public-api/math/vector2.h>
+#include <resampler.h>
+#include <image-loading.h>
// INTERNAL INCLUDES
namespace
{
+// The BORDER_FILL_VALUE is a single byte value that is used for horizontal and vertical borders.
+// A value of 0x00 gives us transparency for pixel buffers with an alpha channel, or black otherwise.
+// We can optionally use a Vector4 color here, but at reduced fill speed.
+const uint8_t BORDER_FILL_VALUE( 0x00 );
+// A maximum size limit for newly created bitmaps. ( 1u << 16 ) - 1 is chosen as we are using 16bit words for dimensions.
+const unsigned int MAXIMUM_TARGET_BITMAP_SIZE( ( 1u << 16 ) - 1 );
+
+// Constants used by the ImageResampler.
+const float DEFAULT_SOURCE_GAMMA = 1.75f; ///< Default source gamma value used in the Resampler() function. Partial gamma correction looks better on mips. Set to 1.0 to disable gamma correction.
+const float FILTER_SCALE = 1.f; ///< Default filter scale value used in the Resampler() function. Filter scale - values < 1.0 cause aliasing, but create sharper looking mips.
+const Resampler::Filter FILTER_TYPE = Resampler::LANCZOS4; ///< Default filter used in the Resampler() function. Possible Lanczos filters are: lanczos3, lanczos4, lanczos6, lanczos12
+
using Integration::Bitmap;
using Integration::BitmapPtr;
typedef unsigned char PixelBuffer;
if( desiredWidth == 0u || desiredHeight == 0u )
{
- DALI_LOG_INFO( gImageOpsLogFilter, Dali::Integration::Log::Verbose, "Downscaling to a zero-area target is pointless." );
+ DALI_LOG_INFO( gImageOpsLogFilter, Dali::Integration::Log::Verbose, "Downscaling to a zero-area target is pointless.\n" );
}
if( inputWidth == 0u || inputHeight == 0u )
{
- DALI_LOG_INFO( gImageOpsLogFilter, Dali::Integration::Log::Verbose, "Zero area images cannot be scaled" );
+ DALI_LOG_INFO( gImageOpsLogFilter, Dali::Integration::Log::Verbose, "Zero area images cannot be scaled\n" );
}
}
DALI_ASSERT_DEBUG( scanline2 && "Null pointer." );
DALI_ASSERT_DEBUG( outputScanline && "Null pointer." );
DALI_ASSERT_DEBUG( ((scanline1 >= scanline2 + widthInComponents) || (scanline2 >= scanline1 + widthInComponents )) && "Scanlines alias." );
- DALI_ASSERT_DEBUG( ((((void*)outputScanline) >= (void*)(scanline2 + widthInComponents)) || (((void*)scanline2) >= (void*)(scanline1 + widthInComponents))) && "Scanline 2 aliases output." );
-}
-
-/**
- * @brief Work out the desired width and height according to the rules documented for the ImageAttributes class.
- *
- * @param[in] bitmapWidth Width of image before processing.
- * @param[in] bitmapHeight Height of image before processing.
- * @param[in] requestedWidth Width of area to scale image into. Can be zero.
- * @param[in] requestedHeight Height of area to scale image into. Can be zero.
- * @return Dimensions of area to scale image into after special rules are applied.
- * @see ImageAttributes
- */
-ImageDimensions CalculateDesiredDimensions( unsigned int bitmapWidth, unsigned int bitmapHeight, unsigned int requestedWidth, unsigned int requestedHeight )
-{
- // If no dimensions have been requested, default to the source ones:
- if( requestedWidth == 0 && requestedHeight == 0 )
- {
- return ImageDimensions( bitmapWidth, bitmapHeight );
- }
-
- // If both dimensions have values requested, use them both:
- if( requestedWidth != 0 && requestedHeight != 0 )
- {
- return ImageDimensions( requestedWidth, requestedHeight );
- }
-
- // If only one of the dimensions has been requested, calculate the other from
- // the requested one and the source image aspect ratio:
-
- if( requestedWidth != 0 )
- {
- return ImageDimensions( requestedWidth, bitmapHeight / float(bitmapWidth) * requestedWidth + 0.5f );
- }
- return ImageDimensions( bitmapWidth / float(bitmapHeight) * requestedHeight + 0.5f, requestedHeight );
+ DALI_ASSERT_DEBUG( ((outputScanline >= (scanline2 + widthInComponents)) || (scanline2 >= (scanline1 + widthInComponents))) && "Scanline 2 aliases output." );
}
/**
* @brief Converts a scaling mode to the definition of which dimensions matter when box filtering as a part of that mode.
*/
-BoxDimensionTest DimensionTestForScalingMode( ImageAttributes::ScalingMode scalingMode )
+BoxDimensionTest DimensionTestForScalingMode( FittingMode::Type fittingMode )
{
BoxDimensionTest dimensionTest;
dimensionTest = BoxDimensionTestEither;
- switch( scalingMode )
+ switch( fittingMode )
{
// Shrink to fit attempts to make one or zero dimensions smaller than the
// desired dimensions and one or two dimensions exactly the same as the desired
// ones, so as long as one dimension is larger than the desired size, box
// filtering can continue even if the second dimension is smaller than the
// desired dimensions:
- case ImageAttributes::ShrinkToFit:
+ case FittingMode::SHRINK_TO_FIT:
{
dimensionTest = BoxDimensionTestEither;
break;
}
// Scale to fill mode keeps both dimensions at least as large as desired:
- case ImageAttributes::ScaleToFill:
+ case FittingMode::SCALE_TO_FILL:
{
dimensionTest = BoxDimensionTestBoth;
break;
}
- // Y dimension is irrelevant when downscaling in FitWidth mode:
- case ImageAttributes::FitWidth:
+ // Y dimension is irrelevant when downscaling in FIT_WIDTH mode:
+ case FittingMode::FIT_WIDTH:
{
dimensionTest = BoxDimensionTestX;
break;
}
- // X Dimension is ignored by definition in FitHeight mode:
- case ImageAttributes::FitHeight:
+ // X Dimension is ignored by definition in FIT_HEIGHT mode:
+ case FittingMode::FIT_HEIGHT:
{
dimensionTest = BoxDimensionTestY;
break;
*/
ImageDimensions FitForShrinkToFit( ImageDimensions target, ImageDimensions source )
{
- DALI_ASSERT_DEBUG( true && " " );
// Scale the input by the least extreme of the two dimensions:
const float widthScale = target.GetX() / float(source.GetX());
const float heightScale = target.GetY() / float(source.GetY());
/**
* @brief Work out the dimensions for a uniform scaling of the input to map it
- * into the target while effecting ScaleToFill scaling mode.
- * @note The output dimensions will need either top and bottom or left and right
- * to be cropped away unless the source was pre-cropped to match the destination
- * aspect ratio.
+ * into the target while effecting SCALE_TO_FILL scaling mode.
+ * @note An image scaled into the output dimensions will need either top and
+ * bottom or left and right to be cropped away unless the source was pre-cropped
+ * to match the destination aspect ratio.
*/
ImageDimensions FitForScaleToFill( ImageDimensions target, ImageDimensions source )
{
/**
* @brief Work out the dimensions for a uniform scaling of the input to map it
- * into the target while effecting FitWidth scaling mode.
+ * into the target while effecting FIT_WIDTH scaling mode.
*/
ImageDimensions FitForFitWidth( ImageDimensions target, ImageDimensions source )
{
/**
* @brief Work out the dimensions for a uniform scaling of the input to map it
- * into the target while effecting FitHeight scaling mode.
+ * into the target while effecting FIT_HEIGHT scaling mode.
*/
ImageDimensions FitForFitHeight( ImageDimensions target, ImageDimensions source )
{
* @brief Generate the rectangle to use as the target of a pixel sampling pass
* (e.g., nearest or linear).
*/
-ImageDimensions FitToScalingMode( ImageDimensions requestedSize, ImageDimensions sourceSize, ImageAttributes::ScalingMode scalingMode )
+ImageDimensions FitToScalingMode( ImageDimensions requestedSize, ImageDimensions sourceSize, FittingMode::Type fittingMode )
{
ImageDimensions fitDimensions;
- switch( scalingMode )
+ switch( fittingMode )
{
- case ImageAttributes::ShrinkToFit:
+ case FittingMode::SHRINK_TO_FIT:
{
fitDimensions = FitForShrinkToFit( requestedSize, sourceSize );
break;
}
- case ImageAttributes::ScaleToFill:
+ case FittingMode::SCALE_TO_FILL:
{
fitDimensions = FitForScaleToFill( requestedSize, sourceSize );
break;
}
- case ImageAttributes::FitWidth:
+ case FittingMode::FIT_WIDTH:
{
fitDimensions = FitForFitWidth( requestedSize, sourceSize );
break;
}
- case ImageAttributes::FitHeight:
+ case FittingMode::FIT_HEIGHT:
{
fitDimensions = FitForFitHeight( requestedSize, sourceSize );
break;
}
- };
+ }
return fitDimensions;
}
/**
+ * @brief Calculate the number of lines on the X and Y axis that need to be
+ * either added or removed with repect to the specified fitting mode.
+ * (e.g., nearest or linear).
+ * @param[in] sourceSize The size of the source image
+ * @param[in] fittingMode The fitting mode to use
+ * @param[in/out] requestedSize The target size that the image will be fitted to.
+ * If the source image is smaller than the requested size, the source is not scaled up.
+ * So we reduce the target size while keeping aspect by lowering resolution.
+ * @param[out] scanlinesToCrop The number of scanlines to remove from the image (can be negative to represent Y borders required)
+ * @param[out] columnsToCrop The number of columns to remove from the image (can be negative to represent X borders required)
+ */
+void CalculateBordersFromFittingMode( ImageDimensions sourceSize, FittingMode::Type fittingMode, ImageDimensions& requestedSize, int& scanlinesToCrop, int& columnsToCrop )
+{
+ const unsigned int sourceWidth( sourceSize.GetWidth() );
+ const unsigned int sourceHeight( sourceSize.GetHeight() );
+ const float targetAspect( static_cast< float >( requestedSize.GetWidth() ) / static_cast< float >( requestedSize.GetHeight() ) );
+ int finalWidth = 0;
+ int finalHeight = 0;
+
+ switch( fittingMode )
+ {
+ case FittingMode::FIT_WIDTH:
+ {
+ finalWidth = sourceWidth;
+ finalHeight = static_cast< float >( sourceWidth ) / targetAspect;
+
+ columnsToCrop = 0;
+ scanlinesToCrop = -( finalHeight - sourceHeight );
+ break;
+ }
+
+ case FittingMode::FIT_HEIGHT:
+ {
+ finalWidth = static_cast< float >( sourceHeight ) * targetAspect;
+ finalHeight = sourceHeight;
+
+ columnsToCrop = -( finalWidth - sourceWidth );
+ scanlinesToCrop = 0;
+ break;
+ }
+
+ case FittingMode::SHRINK_TO_FIT:
+ {
+ const float sourceAspect( static_cast< float >( sourceWidth ) / static_cast< float >( sourceHeight ) );
+ if( sourceAspect > targetAspect )
+ {
+ finalWidth = sourceWidth;
+ finalHeight = static_cast< float >( sourceWidth ) / targetAspect;
+
+ columnsToCrop = 0;
+ scanlinesToCrop = -( finalHeight - sourceHeight );
+ }
+ else
+ {
+ finalWidth = static_cast< float >( sourceHeight ) * targetAspect;
+ finalHeight = sourceHeight;
+
+ columnsToCrop = -( finalWidth - sourceWidth );
+ scanlinesToCrop = 0;
+ }
+ break;
+ }
+
+ case FittingMode::SCALE_TO_FILL:
+ {
+ const float sourceAspect( static_cast< float >( sourceWidth ) / static_cast< float >( sourceHeight ) );
+ if( sourceAspect > targetAspect )
+ {
+ finalWidth = static_cast< float >( sourceHeight ) * targetAspect;
+ finalHeight = sourceHeight;
+
+ columnsToCrop = -( finalWidth - sourceWidth );
+ scanlinesToCrop = 0;
+ }
+ else
+ {
+ finalWidth = sourceWidth;
+ finalHeight = static_cast< float >( sourceWidth ) / targetAspect;
+
+ columnsToCrop = 0;
+ scanlinesToCrop = -( finalHeight - sourceHeight );
+ }
+ break;
+ }
+ }
+
+ requestedSize.SetWidth( finalWidth );
+ requestedSize.SetHeight( finalHeight );
+}
+
+/**
* @brief Construct a bitmap with format and dimensions requested.
*/
BitmapPtr MakeEmptyBitmap( Pixel::Format pixelFormat, unsigned int width, unsigned int height )
DALI_ASSERT_DEBUG( Pixel::GetBytesPerPixel(pixelFormat) && "Compressed formats not supported." );
// Allocate a pixel buffer to hold the image passed in:
- Integration::BitmapPtr newBitmap = Integration::Bitmap::New( Integration::Bitmap::BITMAP_2D_PACKED_PIXELS, ResourcePolicy::DISCARD );
+ Integration::BitmapPtr newBitmap = Integration::Bitmap::New( Integration::Bitmap::BITMAP_2D_PACKED_PIXELS, ResourcePolicy::OWNED_DISCARD );
newBitmap->GetPackedPixelsProfile()->ReserveBuffer( pixelFormat, width, height, width, height );
return newBitmap;
}
return newBitmap;
}
+/**
+ * @brief Work out the desired width and height, accounting for zeros.
+ *
+ * @param[in] bitmapWidth Width of image before processing.
+ * @param[in] bitmapHeight Height of image before processing.
+ * @param[in] requestedWidth Width of area to scale image into. Can be zero.
+ * @param[in] requestedHeight Height of area to scale image into. Can be zero.
+ * @return Dimensions of area to scale image into after special rules are applied.
+ */
+ImageDimensions CalculateDesiredDimensions( unsigned int bitmapWidth, unsigned int bitmapHeight, unsigned int requestedWidth, unsigned int requestedHeight )
+{
+ unsigned int maxSize = Dali::GetMaxTextureSize();
+
+ // If no dimensions have been requested, default to the source ones:
+ if( requestedWidth == 0 && requestedHeight == 0 )
+ {
+ return ImageDimensions( std::min( bitmapWidth, maxSize ), std::min( bitmapHeight, maxSize ) );
+ }
+
+ // If both dimensions have values requested, use them both:
+ if( requestedWidth != 0 && requestedHeight != 0 )
+ {
+ return ImageDimensions( std::min( requestedWidth, maxSize ), std::min( requestedHeight, maxSize ) );
+ }
+
+ // Only one of the dimensions has been requested. Calculate the other from
+ // the requested one and the source image aspect ratio:
+ if( requestedWidth != 0 )
+ {
+ requestedWidth = std::min( requestedWidth, maxSize );
+ return ImageDimensions( requestedWidth, bitmapHeight / float(bitmapWidth) * requestedWidth + 0.5f );
+ }
+
+ requestedHeight = std::min( requestedHeight, maxSize );
+ return ImageDimensions( bitmapWidth / float(bitmapHeight) * requestedHeight + 0.5f, requestedHeight );
+}
+
} // namespace - unnamed
+ImageDimensions CalculateDesiredDimensions( ImageDimensions rawDimensions, ImageDimensions requestedDimensions )
+{
+ return CalculateDesiredDimensions( rawDimensions.GetWidth(), rawDimensions.GetHeight(), requestedDimensions.GetWidth(), requestedDimensions.GetHeight() ) ;
+}
+
/**
- * @brief Implement ImageAttributes::ScaleTofill scaling mode cropping.
+ * @brief Apply cropping and padding for specified fitting mode.
*
- * Implement the cropping required for ImageAttributes::ScaleToFill mode,
- * returning a new bitmap with the aspect ratio specified by the scaling mode.
- * This scaling mode selects the central portion of a source image so any spare
- * pixels off one of either the top or bottom edge need to be removed.
+ * Once the bitmap has been (optionally) downscaled to an appropriate size, this method performs alterations
+ * based on the fitting mode.
*
- * @note If the input bitmap was not previously downscaled to exactly encompass
- * the desired output size, the resulting bitmap will have the correct aspect
- * ratio but will have larger dimensions than requested. This can be used to
- * fake the scaling mode by relying on the GPU scaling at render time.
- * If the input bitmap was previously maximally downscaled using a
- * repeated box filter, this is a reasonable approach.
+ * This will add vertical or horizontal borders if necessary.
+ * Crop the source image data vertically or horizontally if necessary.
+ * The aspect of the source image is preserved.
+ * If the source image is smaller than the desired size, the algorithm will modify the the newly created
+ * bitmaps dimensions to only be as large as necessary, as a memory saving optimization. This will cause
+ * GPU scaling to be performed at render time giving the same result with less texture traversal.
*
- * @return The bitmap passed in if no scaling is needed or possible, else a new,
- * smaller bitmap with the cropping required for the scaling mode applied.
+ * @param[in] bitmap The source bitmap to perform modifications on.
+ * @param[in] desiredDimensions The target dimensions to aim to fill based on the fitting mode.
+ * @param[in] fittingMode The fitting mode to use.
+ *
+ * @return A new bitmap with the padding and cropping required for fitting mode applied.
+ * If no modification is needed or possible, the passed in bitmap is returned.
*/
-Integration::BitmapPtr CropForScaleToFill( Integration::BitmapPtr bitmap, ImageDimensions desiredDimensions );
+Integration::BitmapPtr CropAndPadForFittingMode( Integration::BitmapPtr bitmap, ImageDimensions desiredDimensions, FittingMode::Type fittingMode );
-BitmapPtr ApplyAttributesToBitmap( BitmapPtr bitmap, const ImageAttributes& requestedAttributes )
-{
- ///@ToDo: Optimisation - If Scaling Mode is ScaletoFill, either do cropping here at the front of the pipe, or equivalently modify all scaling functions to take a source rectangle and have the first one to be applied, pull in a subset of source pixels to crop on the fly. That would make every scaling slightly slower but would save the memcpy()s at the end for ScaleToFill.
+/**
+ * @brief Adds horizontal or vertical borders to the source image.
+ *
+ * @param[in] targetPixels The destination image pointer to draw the borders on.
+ * @param[in] bytesPerPixel The number of bytes per pixel of the target pixel buffer.
+ * @param[in] targetDimensions The dimensions of the destination image.
+ * @param[in] padDimensions The columns and scanlines to pad with borders.
+ */
+void AddBorders( PixelBuffer *targetPixels, const unsigned int bytesPerPixel, const ImageDimensions targetDimensions, const ImageDimensions padDimensions );
+BitmapPtr ApplyAttributesToBitmap( BitmapPtr bitmap, ImageDimensions dimensions, FittingMode::Type fittingMode, SamplingMode::Type samplingMode )
+{
if( bitmap )
{
// Calculate the desired box, accounting for a possible zero component:
- const ImageDimensions desiredDimensions = CalculateDesiredDimensions( bitmap->GetImageWidth(), bitmap->GetImageHeight(), requestedAttributes.GetWidth(), requestedAttributes.GetHeight() );
+ const ImageDimensions desiredDimensions = CalculateDesiredDimensions( bitmap->GetImageWidth(), bitmap->GetImageHeight(), dimensions.GetWidth(), dimensions.GetHeight() );
// If a different size than the raw one has been requested, resize the image
// maximally using a repeated box filter without making it smaller than the
// requested size in either dimension:
- bitmap = DownscaleBitmap( *bitmap, desiredDimensions, requestedAttributes.GetScalingMode(), requestedAttributes.GetFilterMode() );
+ bitmap = DownscaleBitmap( *bitmap, desiredDimensions, fittingMode, samplingMode );
// Cut the bitmap according to the desired width and height so that the
- // resulting bitmap has the same aspect ratio as the desired dimensions:
- if( bitmap && bitmap->GetPackedPixelsProfile() && requestedAttributes.GetScalingMode() == ImageAttributes::ScaleToFill )
+ // resulting bitmap has the same aspect ratio as the desired dimensions.
+ // Add crop and add borders if necessary depending on fitting mode.
+ if( bitmap && bitmap->GetPackedPixelsProfile() )
{
- bitmap = CropForScaleToFill( bitmap, desiredDimensions );
+ bitmap = CropAndPadForFittingMode( bitmap, desiredDimensions, fittingMode );
}
// Examine the image pixels remaining after cropping and scaling to see if all
return bitmap;
}
-BitmapPtr CropForScaleToFill( BitmapPtr bitmap, ImageDimensions desiredDimensions )
+BitmapPtr CropAndPadForFittingMode( BitmapPtr bitmap, ImageDimensions desiredDimensions, FittingMode::Type fittingMode )
{
- const unsigned inputWidth = bitmap->GetImageWidth();
- const unsigned inputHeight = bitmap->GetImageHeight();
- const unsigned desiredWidth = desiredDimensions.GetWidth();
- const unsigned desiredHeight = desiredDimensions.GetHeight();
+ const unsigned int inputWidth = bitmap->GetImageWidth();
+ const unsigned int inputHeight = bitmap->GetImageHeight();
- if( desiredWidth < 1U || desiredHeight < 1U )
+ if( desiredDimensions.GetWidth() < 1u || desiredDimensions.GetHeight() < 1u )
{
- DALI_LOG_WARNING( "Image scaling aborted as desired dimensions too small (%u, %u)\n.", desiredWidth, desiredHeight );
+ DALI_LOG_WARNING( "Image scaling aborted as desired dimensions too small (%u, %u).\n", desiredDimensions.GetWidth(), desiredDimensions.GetHeight() );
}
- else if( inputWidth != desiredWidth || inputHeight != desiredHeight )
+ else if( inputWidth != desiredDimensions.GetWidth() || inputHeight != desiredDimensions.GetHeight() )
{
- const Vector2 desiredDims( desiredWidth, desiredHeight );
-
- // Scale the desired rectangle back to fit inside the rectangle of the loaded bitmap:
- // There are two candidates (scaled by x, and scaled by y) and we choose the smallest area one.
- const float widthsRatio = inputWidth / float(desiredWidth);
- const Vector2 scaledByWidth = desiredDims * widthsRatio;
- const float heightsRatio = inputHeight / float(desiredHeight);
- const Vector2 scaledByHeight = desiredDims * heightsRatio;
- // Trim top and bottom if the area of the horizontally-fitted candidate is less, else trim the sides:
- const bool trimTopAndBottom = scaledByWidth.width * scaledByWidth.height < scaledByHeight.width * scaledByHeight.height;
- const Vector2 scaledDims = trimTopAndBottom ? scaledByWidth : scaledByHeight;
-
- // Work out how many pixels to trim from top and bottom, and left and right:
- // (We only ever do one dimension)
- const unsigned scanlinesToTrim = trimTopAndBottom ? fabsf( (scaledDims.y - inputHeight) * 0.5f ) : 0;
- const unsigned columnsToTrim = trimTopAndBottom ? 0 : fabsf( (scaledDims.x - inputWidth) * 0.5f );
-
- DALI_LOG_INFO( gImageOpsLogFilter, Debug::Concise, "Bitmap, desired(%f, %f), loaded(%u,%u), cut_target(%f, %f), trimmed(%u, %u), vertical = %s.\n", desiredDims.x, desiredDims.y, inputWidth, inputHeight, scaledDims.x, scaledDims.y, columnsToTrim, scanlinesToTrim, trimTopAndBottom ? "true" : "false" );
-
- // Make a new bitmap with the central part of the loaded one if required:
- if( scanlinesToTrim > 0 || columnsToTrim > 0 )
- {
- const unsigned newWidth = inputWidth - 2 * columnsToTrim;
- const unsigned newHeight = inputHeight - 2 * scanlinesToTrim;
- BitmapPtr croppedBitmap = Integration::Bitmap::New( Integration::Bitmap::BITMAP_2D_PACKED_PIXELS, ResourcePolicy::DISCARD );
- Integration::Bitmap::PackedPixelsProfile * packedView = croppedBitmap->GetPackedPixelsProfile();
- DALI_ASSERT_DEBUG( packedView );
- const Pixel::Format pixelFormat = bitmap->GetPixelFormat();
- packedView->ReserveBuffer( pixelFormat, newWidth, newHeight, newWidth, newHeight );
+ // Calculate any padding or cropping that needs to be done based on the fitting mode.
+ // Note: If the desired size is larger than the original image, the desired size will be
+ // reduced while maintaining the aspect, in order to save unnecessary memory usage.
+ int scanlinesToCrop = 0;
+ int columnsToCrop = 0;
- const unsigned bytesPerPixel = Pixel::GetBytesPerPixel( pixelFormat );
+ CalculateBordersFromFittingMode( ImageDimensions( inputWidth, inputHeight ), fittingMode, desiredDimensions, scanlinesToCrop, columnsToCrop );
- const PixelBuffer * const srcPixels = bitmap->GetBuffer() + scanlinesToTrim * inputWidth * bytesPerPixel;
- PixelBuffer * const destPixels = croppedBitmap->GetBuffer();
- DALI_ASSERT_DEBUG( srcPixels && destPixels );
+ unsigned int desiredWidth( desiredDimensions.GetWidth() );
+ unsigned int desiredHeight( desiredDimensions.GetHeight() );
- // Optimize to a single memcpy if the left and right edges don't need a crop, else copy a scanline at a time:
- if( trimTopAndBottom )
+ // Action the changes by making a new bitmap with the central part of the loaded one if required.
+ if( scanlinesToCrop != 0 || columnsToCrop != 0 )
+ {
+ // Split the adding and removing of scanlines and columns into separate variables,
+ // so we can use one piece of generic code to action the changes.
+ unsigned int scanlinesToPad = 0;
+ unsigned int columnsToPad = 0;
+ if( scanlinesToCrop < 0 )
{
- memcpy( destPixels, srcPixels, newHeight * newWidth * bytesPerPixel );
+ scanlinesToPad = -scanlinesToCrop;
+ scanlinesToCrop = 0;
+ }
+ if( columnsToCrop < 0 )
+ {
+ columnsToPad = -columnsToCrop;
+ columnsToCrop = 0;
+ }
+
+ // If there is no filtering, then the final image size can become very large, exit if larger than maximum.
+ if( ( desiredWidth > MAXIMUM_TARGET_BITMAP_SIZE ) || ( desiredHeight > MAXIMUM_TARGET_BITMAP_SIZE ) ||
+ ( columnsToPad > MAXIMUM_TARGET_BITMAP_SIZE ) || ( scanlinesToPad > MAXIMUM_TARGET_BITMAP_SIZE ) )
+ {
+ DALI_LOG_WARNING( "Image scaling aborted as final dimensions too large (%u, %u).\n", desiredWidth, desiredHeight );
+ return bitmap;
+ }
+
+ // Create a new bitmap with the desired size.
+ BitmapPtr croppedBitmap = Integration::Bitmap::New( Integration::Bitmap::BITMAP_2D_PACKED_PIXELS, ResourcePolicy::OWNED_DISCARD );
+ Integration::Bitmap::PackedPixelsProfile *packedView = croppedBitmap->GetPackedPixelsProfile();
+ DALI_ASSERT_DEBUG( packedView );
+ const Pixel::Format pixelFormat = bitmap->GetPixelFormat();
+ packedView->ReserveBuffer( pixelFormat, desiredWidth, desiredHeight, desiredWidth, desiredHeight );
+
+ // Add some pre-calculated offsets to the bitmap pointers so this is not done within a loop.
+ // The cropping is added to the source pointer, and the padding is added to the destination.
+ const unsigned int bytesPerPixel = Pixel::GetBytesPerPixel( pixelFormat );
+ const PixelBuffer * const sourcePixels = bitmap->GetBuffer() + ( ( ( ( scanlinesToCrop / 2 ) * inputWidth ) + ( columnsToCrop / 2 ) ) * bytesPerPixel );
+ PixelBuffer * const targetPixels = croppedBitmap->GetBuffer();
+ PixelBuffer * const targetPixelsActive = targetPixels + ( ( ( ( scanlinesToPad / 2 ) * desiredWidth ) + ( columnsToPad / 2 ) ) * bytesPerPixel );
+ DALI_ASSERT_DEBUG( sourcePixels && targetPixels );
+
+ // Copy the image data to the new bitmap.
+ // Optimize to a single memcpy if the left and right edges don't need a crop or a pad.
+ unsigned int outputSpan( desiredWidth * bytesPerPixel );
+ if( columnsToCrop == 0 && columnsToPad == 0 )
+ {
+ memcpy( targetPixelsActive, sourcePixels, ( desiredHeight - scanlinesToPad ) * outputSpan );
}
else
{
- for( unsigned y = 0; y < newHeight; ++y )
+ // The width needs to change (due to either a crop or a pad), so we copy a scanline at a time.
+ // Precalculate any constants to optimize the inner loop.
+ const unsigned int inputSpan( inputWidth * bytesPerPixel );
+ const unsigned int copySpan( ( desiredWidth - columnsToPad ) * bytesPerPixel );
+ const unsigned int scanlinesToCopy( desiredHeight - scanlinesToPad );
+
+ for( unsigned int y = 0; y < scanlinesToCopy; ++y )
{
- memcpy( &destPixels[y * newWidth * bytesPerPixel], &srcPixels[y * inputWidth * bytesPerPixel + columnsToTrim * bytesPerPixel], newWidth * bytesPerPixel );
+ memcpy( &targetPixelsActive[ y * outputSpan ], &sourcePixels[ y * inputSpan ], copySpan );
}
}
- // Overwrite the loaded bitmap with the cropped version:
+ // Add vertical or horizontal borders to the final image (if required).
+ desiredDimensions.SetWidth( desiredWidth );
+ desiredDimensions.SetHeight( desiredHeight );
+ AddBorders( croppedBitmap->GetBuffer(), bytesPerPixel, desiredDimensions, ImageDimensions( columnsToPad, scanlinesToPad ) );
+ // Overwrite the loaded bitmap with the cropped version
bitmap = croppedBitmap;
}
}
return bitmap;
}
+void AddBorders( PixelBuffer *targetPixels, const unsigned int bytesPerPixel, const ImageDimensions targetDimensions, const ImageDimensions padDimensions )
+{
+ // Assign ints for faster access.
+ unsigned int desiredWidth( targetDimensions.GetWidth() );
+ unsigned int desiredHeight( targetDimensions.GetHeight() );
+ unsigned int columnsToPad( padDimensions.GetWidth() );
+ unsigned int scanlinesToPad( padDimensions.GetHeight() );
+ unsigned int outputSpan( desiredWidth * bytesPerPixel );
+
+ // Add letterboxing (symmetrical borders) if needed.
+ if( scanlinesToPad > 0 )
+ {
+ // Add a top border. Note: This is (deliberately) rounded down if padding is an odd number.
+ memset( targetPixels, BORDER_FILL_VALUE, ( scanlinesToPad / 2 ) * outputSpan );
+
+ // We subtract scanlinesToPad/2 from scanlinesToPad so that we have the correct
+ // offset for odd numbers (as the top border is 1 pixel smaller in these cases.
+ unsigned int bottomBorderHeight = scanlinesToPad - ( scanlinesToPad / 2 );
+
+ // Bottom border.
+ memset( &targetPixels[ ( desiredHeight - bottomBorderHeight ) * outputSpan ], BORDER_FILL_VALUE, bottomBorderHeight * outputSpan );
+ }
+ else if( columnsToPad > 0 )
+ {
+ // Add a left and right border.
+ // Left:
+ // Pre-calculate span size outside of loop.
+ unsigned int leftBorderSpanWidth( ( columnsToPad / 2 ) * bytesPerPixel );
+ for( unsigned int y = 0; y < desiredHeight; ++y )
+ {
+ memset( &targetPixels[ y * outputSpan ], BORDER_FILL_VALUE, leftBorderSpanWidth );
+ }
+
+ // Right:
+ // Pre-calculate the initial x offset as it is always the same for a small optimization.
+ // We subtract columnsToPad/2 from columnsToPad so that we have the correct
+ // offset for odd numbers (as the left border is 1 pixel smaller in these cases.
+ unsigned int rightBorderWidth = columnsToPad - ( columnsToPad / 2 );
+ PixelBuffer * const destPixelsRightBorder( targetPixels + ( ( desiredWidth - rightBorderWidth ) * bytesPerPixel ) );
+ unsigned int rightBorderSpanWidth = rightBorderWidth * bytesPerPixel;
+
+ for( unsigned int y = 0; y < desiredHeight; ++y )
+ {
+ memset( &destPixelsRightBorder[ y * outputSpan ], BORDER_FILL_VALUE, rightBorderSpanWidth );
+ }
+ }
+}
+
Integration::BitmapPtr DownscaleBitmap( Integration::Bitmap& bitmap,
ImageDimensions desired,
- ImageAttributes::ScalingMode scalingMode,
- ImageAttributes::FilterMode filterMode )
+ FittingMode::Type fittingMode,
+ SamplingMode::Type samplingMode )
{
// Source dimensions as loaded from resources (e.g. filesystem):
const unsigned int bitmapWidth = bitmap.GetImageWidth();
// Do the fast power of 2 iterated box filter to get to roughly the right side if the filter mode requests that:
unsigned int shrunkWidth = -1, shrunkHeight = -1;
- DownscaleInPlacePow2( bitmap.GetBuffer(), pixelFormat, bitmapWidth, bitmapHeight, desiredWidth, desiredHeight, scalingMode, filterMode, shrunkWidth, shrunkHeight );
+ DownscaleInPlacePow2( bitmap.GetBuffer(), pixelFormat, bitmapWidth, bitmapHeight, desiredWidth, desiredHeight, fittingMode, samplingMode, shrunkWidth, shrunkHeight );
// Work out the dimensions of the downscaled bitmap, given the scaling mode and desired dimensions:
- const ImageDimensions filteredDimensions = FitToScalingMode( ImageDimensions( desiredWidth, desiredHeight ), ImageDimensions( shrunkWidth, shrunkHeight ), scalingMode );
+ const ImageDimensions filteredDimensions = FitToScalingMode( ImageDimensions( desiredWidth, desiredHeight ), ImageDimensions( shrunkWidth, shrunkHeight ), fittingMode );
const unsigned int filteredWidth = filteredDimensions.GetWidth();
const unsigned int filteredHeight = filteredDimensions.GetHeight();
bool filtered = false;
if( filteredWidth < shrunkWidth || filteredHeight < shrunkHeight )
{
- if( filterMode == ImageAttributes::Linear || filterMode == ImageAttributes::BoxThenLinear ||
- filterMode == ImageAttributes::Nearest || filterMode == ImageAttributes::BoxThenNearest )
+ if( samplingMode == SamplingMode::LINEAR || samplingMode == SamplingMode::BOX_THEN_LINEAR ||
+ samplingMode == SamplingMode::NEAREST || samplingMode == SamplingMode::BOX_THEN_NEAREST )
{
outputBitmap = MakeEmptyBitmap( pixelFormat, filteredWidth, filteredHeight );
if( outputBitmap )
{
- if( filterMode == ImageAttributes::Linear || filterMode == ImageAttributes::BoxThenLinear )
+ if( samplingMode == SamplingMode::LINEAR || samplingMode == SamplingMode::BOX_THEN_LINEAR )
{
LinearSample( bitmap.GetBuffer(), ImageDimensions(shrunkWidth, shrunkHeight), pixelFormat, outputBitmap->GetBuffer(), filteredDimensions );
}
unsigned int inputHeight,
unsigned int desiredWidth,
unsigned int desiredHeight,
- ImageAttributes::ScalingMode scalingMode,
- ImageAttributes::FilterMode filterMode,
+ FittingMode::Type fittingMode,
+ SamplingMode::Type samplingMode,
unsigned& outWidth,
unsigned& outHeight )
{
outWidth = inputWidth;
outHeight = inputHeight;
// Perform power of 2 iterated 4:1 box filtering if the requested filter mode requires it:
- if( filterMode == ImageAttributes::Box || filterMode == ImageAttributes::BoxThenNearest || filterMode == ImageAttributes::BoxThenLinear )
+ if( samplingMode == SamplingMode::BOX || samplingMode == SamplingMode::BOX_THEN_NEAREST || samplingMode == SamplingMode::BOX_THEN_LINEAR )
{
// Check the pixel format is one that is supported:
if( pixelFormat == Pixel::RGBA8888 || pixelFormat == Pixel::RGB888 || pixelFormat == Pixel::RGB565 || pixelFormat == Pixel::LA88 || pixelFormat == Pixel::L8 || pixelFormat == Pixel::A8 )
{
- const BoxDimensionTest dimensionTest = DimensionTestForScalingMode( scalingMode );
+ const BoxDimensionTest dimensionTest = DimensionTestForScalingMode( fittingMode );
if( pixelFormat == Pixel::RGBA8888 )
{
DALI_ASSERT_DEBUG( ((desiredWidth <= inputWidth && desiredHeight <= inputHeight) ||
outPixels >= inPixels + inputWidth * inputHeight * sizeof(PIXEL) || outPixels <= inPixels - desiredWidth * desiredHeight * sizeof(PIXEL)) &&
"The input and output buffers must not overlap for an upscaling.");
- DALI_ASSERT_DEBUG( ((uint64_t) inPixels) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
- DALI_ASSERT_DEBUG( ((uint64_t) outPixels) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
+ DALI_ASSERT_DEBUG( reinterpret_cast< uint64_t >( inPixels ) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
+ DALI_ASSERT_DEBUG( reinterpret_cast< uint64_t >( outPixels ) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
if( inputWidth < 1u || inputHeight < 1u || desiredWidth < 1u || desiredHeight < 1u )
{
"Input and output buffers cannot overlap.");
if( DEBUG_ASSERT_ALIGNMENT )
{
- DALI_ASSERT_DEBUG( ((uint64_t) inPixels) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
- DALI_ASSERT_DEBUG( ((uint64_t) outPixels) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
+ DALI_ASSERT_DEBUG( reinterpret_cast< uint64_t >( inPixels ) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
+ DALI_ASSERT_DEBUG( reinterpret_cast< uint64_t >( outPixels) % sizeof(PIXEL) == 0 && "Pixel pointers need to be aligned to the size of the pixels (E.g., 4 bytes for RGBA, 2 bytes for RGB565, ...)." );
}
if( inputWidth < 1u || inputHeight < 1u || desiredWidth < 1u || desiredHeight < 1u )
LinearSampleGeneric<Pixel4Bytes, BilinearFilter4Bytes, true>( inPixels, inputDimensions, outPixels, desiredDimensions );
}
+void LanczosSample( const unsigned char * __restrict__ inPixels,
+ ImageDimensions inputDimensions,
+ unsigned char * __restrict__ outPixels,
+ ImageDimensions desiredDimensions,
+ int numChannels, bool hasAlpha )
+{
+ // Got from the test.cpp of the ImageResampler lib.
+ const float ONE_DIV_255 = 1.0f / 255.0f;
+ const int MAX_UNSIGNED_CHAR = std::numeric_limits<uint8_t>::max();
+ const int LINEAR_TO_SRGB_TABLE_SIZE = 4096;
+ const int ALPHA_CHANNEL = hasAlpha ? (numChannels-1) : 0;
+
+ static bool loadColorSpaces = true;
+ static float srgbToLinear[MAX_UNSIGNED_CHAR + 1];
+ static unsigned char linearToSrgb[LINEAR_TO_SRGB_TABLE_SIZE];
+
+ if( loadColorSpaces ) // Only create the color space conversions on the first execution
+ {
+ loadColorSpaces = false;
+
+ for( int i = 0; i <= MAX_UNSIGNED_CHAR; ++i )
+ {
+ srgbToLinear[i] = pow( static_cast<float>( i ) * ONE_DIV_255, DEFAULT_SOURCE_GAMMA );
+ }
+
+ const float invLinearToSrgbTableSize = 1.0f / static_cast<float>( LINEAR_TO_SRGB_TABLE_SIZE );
+ const float invSourceGamma = 1.0f / DEFAULT_SOURCE_GAMMA;
+
+ for( int i = 0; i < LINEAR_TO_SRGB_TABLE_SIZE; ++i )
+ {
+ int k = static_cast<int>( 255.0f * pow( static_cast<float>( i ) * invLinearToSrgbTableSize, invSourceGamma ) + 0.5f );
+ if( k < 0 )
+ {
+ k = 0;
+ }
+ else if( k > MAX_UNSIGNED_CHAR )
+ {
+ k = MAX_UNSIGNED_CHAR;
+ }
+ linearToSrgb[i] = static_cast<unsigned char>( k );
+ }
+ }
+
+ Resampler* resamplers[numChannels];
+ Vector<float> samples[numChannels];
+
+ const int srcWidth = inputDimensions.GetWidth();
+ const int srcHeight = inputDimensions.GetHeight();
+ const int dstWidth = desiredDimensions.GetWidth();
+ const int dstHeight = desiredDimensions.GetHeight();
+
+ // Now create a Resampler instance for each component to process. The first instance will create new contributor tables, which are shared by the resamplers
+ // used for the other components (a memory and slight cache efficiency optimization).
+ resamplers[0] = new Resampler( srcWidth,
+ srcHeight,
+ dstWidth,
+ dstHeight,
+ Resampler::BOUNDARY_CLAMP,
+ 0.0f, // sample_low,
+ 1.0f, // sample_high. Clamp output samples to specified range, or disable clamping if sample_low >= sample_high.
+ FILTER_TYPE, // The type of filter. Currently Lanczos.
+ NULL, // Pclist_x,
+ NULL, // Pclist_y. Optional pointers to contributor lists from another instance of a Resampler.
+ FILTER_SCALE, // src_x_ofs,
+ FILTER_SCALE ); // src_y_ofs. Offset input image by specified amount (fractional values okay).
+ samples[0].Resize( srcWidth );
+ for( int i = 1; i < numChannels; ++i )
+ {
+ resamplers[i] = new Resampler( srcWidth,
+ srcHeight,
+ dstWidth,
+ dstHeight,
+ Resampler::BOUNDARY_CLAMP,
+ 0.0f,
+ 1.0f,
+ FILTER_TYPE,
+ resamplers[0]->get_clist_x(),
+ resamplers[0]->get_clist_y(),
+ FILTER_SCALE,
+ FILTER_SCALE );
+ samples[i].Resize( srcWidth );
+ }
+
+ const int srcPitch = srcWidth * numChannels;
+ const int dstPitch = dstWidth * numChannels;
+ int dstY = 0;
+
+ for( int srcY = 0; srcY < srcHeight; ++srcY )
+ {
+ const unsigned char* pSrc = &inPixels[srcY * srcPitch];
+
+ for( int x = 0; x < srcWidth; ++x )
+ {
+ for( int c = 0; c < numChannels; ++c )
+ {
+ if( c == ALPHA_CHANNEL && hasAlpha )
+ {
+ samples[c][x] = *pSrc++ * ONE_DIV_255;
+ }
+ else
+ {
+ samples[c][x] = srgbToLinear[*pSrc++];
+ }
+ }
+ }
+
+ for( int c = 0; c < numChannels; ++c )
+ {
+ if( !resamplers[c]->put_line( &samples[c][0] ) )
+ {
+ DALI_ASSERT_DEBUG( !"Out of memory" );
+ }
+ }
+
+ for(;;)
+ {
+ int compIndex;
+ for( compIndex = 0; compIndex < numChannels; ++compIndex )
+ {
+ const float* pOutputSamples = resamplers[compIndex]->get_line();
+ if( !pOutputSamples )
+ {
+ break;
+ }
+
+ const bool isAlphaChannel = ( compIndex == ALPHA_CHANNEL && hasAlpha );
+ DALI_ASSERT_DEBUG( dstY < dstHeight );
+ unsigned char* pDst = &outPixels[dstY * dstPitch + compIndex];
+
+ for( int x = 0; x < dstWidth; ++x )
+ {
+ if( isAlphaChannel )
+ {
+ int c = static_cast<int>( 255.0f * pOutputSamples[x] + 0.5f );
+ if( c < 0 )
+ {
+ c = 0;
+ }
+ else if( c > MAX_UNSIGNED_CHAR )
+ {
+ c = MAX_UNSIGNED_CHAR;
+ }
+ *pDst = static_cast<unsigned char>( c );
+ }
+ else
+ {
+ int j = static_cast<int>( LINEAR_TO_SRGB_TABLE_SIZE * pOutputSamples[x] + 0.5f );
+ if( j < 0 )
+ {
+ j = 0;
+ }
+ else if( j >= LINEAR_TO_SRGB_TABLE_SIZE )
+ {
+ j = LINEAR_TO_SRGB_TABLE_SIZE - 1;
+ }
+ *pDst = linearToSrgb[j];
+ }
+
+ pDst += numChannels;
+ }
+ }
+ if( compIndex < numChannels )
+ {
+ break;
+ }
+
+ ++dstY;
+ }
+ }
+
+ // Delete the resamplers.
+ for( int i = 0; i < numChannels; ++i )
+ {
+ delete resamplers[i];
+ }
+}
+
+void LanczosSample4BPP( const unsigned char * __restrict__ inPixels,
+ ImageDimensions inputDimensions,
+ unsigned char * __restrict__ outPixels,
+ ImageDimensions desiredDimensions )
+{
+ LanczosSample( inPixels, inputDimensions, outPixels, desiredDimensions, 4, true );
+}
+
+void LanczosSample1BPP( const unsigned char * __restrict__ inPixels,
+ ImageDimensions inputDimensions,
+ unsigned char * __restrict__ outPixels,
+ ImageDimensions desiredDimensions )
+{
+ // For L8 images
+ LanczosSample( inPixels, inputDimensions, outPixels, desiredDimensions, 1, false );
+}
+
// Dispatch to a format-appropriate linear sampling function:
void LinearSample( const unsigned char * __restrict__ inPixels,
ImageDimensions inDimensions,
projects / platform / core / uifw / dali-adaptor.git / blobdiff