static const double cs[][2]=
{{1, 0}, {-s45, -s45}, {0, 1}, {s45, -s45}, {-1, 0}, {s45, s45}, {0, -1}, {-s45, s45}};
- if( x < FLT_EPSILON )
- {
- for( int i = 0; i < 8; i++ )
- coeffs[i] = 0;
- coeffs[3] = 1;
- return;
- }
-
float sum = 0;
double y0=-(x+3)*CV_PI*0.25, s0 = std::sin(y0), c0= std::cos(y0);
for(int i = 0; i < 8; i++ )
{
- double y = -(x+3-i)*CV_PI*0.25;
- coeffs[i] = (float)((cs[i][0]*s0 + cs[i][1]*c0)/(y*y));
+ float y0_ = (x+3-i);
+ if (fabs(y0_) >= 1e-6f)
+ {
+ double y = -y0_*CV_PI*0.25;
+ coeffs[i] = (float)((cs[i][0]*s0 + cs[i][1]*c0)/(y*y));
+ }
+ else
+ {
+ // special handling for 'x' values:
+ // - ~0.0: 0 0 0 1 0 0 0 0
+ // - ~1.0: 0 0 0 0 1 0 0 0
+ coeffs[i] = 1e30f;
+ }
sum += coeffs[i];
}
}
}
+TEST(Resize, lanczos4_regression_16192)
+{
+ Size src_size(11, 17);
+ Size dst_size(11, 153);
+ Mat src(src_size, CV_8UC3, Scalar::all(128));
+ Mat dst(dst_size, CV_8UC3, Scalar::all(255));
+
+ cv::resize(src, dst, dst_size, 0, 0, INTER_LANCZOS4);
+
+ Mat expected(dst_size, CV_8UC3, Scalar::all(128));
+ EXPECT_EQ(cvtest::norm(dst, expected, NORM_INF), 0) << dst(Rect(0,0,8,8));
+}
+
TEST(Imgproc_Warp, multichannel)
{
static const int inter_types[] = {INTER_NEAREST, INTER_AREA, INTER_CUBIC,