package resize import ( "image" "image/color" "runtime" "testing" ) var img = image.NewGray16(image.Rect(0, 0, 3, 3)) func init() { runtime.GOMAXPROCS(runtime.NumCPU()) img.Set(1, 1, color.White) } func Test_Param1(t *testing.T) { m := Resize(0, 0, img, NearestNeighbor) if m.Bounds() != img.Bounds() { t.Fail() } } func Test_Param2(t *testing.T) { m := Resize(100, 0, img, NearestNeighbor) if m.Bounds() != image.Rect(0, 0, 100, 100) { t.Fail() } } func Test_ZeroImg(t *testing.T) { zeroImg := image.NewGray16(image.Rect(0, 0, 0, 0)) m := Resize(0, 0, zeroImg, NearestNeighbor) if m.Bounds() != zeroImg.Bounds() { t.Fail() } } func Test_CorrectResize(t *testing.T) { zeroImg := image.NewGray16(image.Rect(0, 0, 256, 256)) m := Resize(60, 0, zeroImg, NearestNeighbor) if m.Bounds() != image.Rect(0, 0, 60, 60) { t.Fail() } } func Test_SameColor(t *testing.T) { img := image.NewRGBA(image.Rect(0, 0, 20, 20)) for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ { for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ { img.SetRGBA(x, y, color.RGBA{0x80, 0x80, 0x80, 0xFF}) } } out := Resize(10, 10, img, Lanczos3) for y := out.Bounds().Min.Y; y < out.Bounds().Max.Y; y++ { for x := out.Bounds().Min.X; x < out.Bounds().Max.X; x++ { color := img.At(x, y).(color.RGBA) if color.R != 0x80 || color.G != 0x80 || color.B != 0x80 || color.A != 0xFF { t.Fail() } } } } func Test_Bounds(t *testing.T) { img := image.NewRGBA(image.Rect(20, 10, 200, 99)) out := Resize(80, 80, img, Lanczos2) out.At(0, 0) } func Benchmark_BigResizeLanczos3(b *testing.B) { var m image.Image for i := 0; i < b.N; i++ { m = Resize(1000, 1000, img, Lanczos3) } m.At(0, 0) } func Benchmark_Reduction(b *testing.B) { largeImg := image.NewRGBA(image.Rect(0, 0, 1000, 1000)) var m image.Image for i := 0; i < b.N; i++ { m = Resize(300, 300, largeImg, Bicubic) } m.At(0, 0) } // Benchmark resize of 16 MPix jpeg image to 800px width. func jpegThumb(b *testing.B, interp InterpolationFunction) { input := image.NewYCbCr(image.Rect(0, 0, 4896, 3264), image.YCbCrSubsampleRatio422) var output image.Image for i := 0; i < b.N; i++ { output = Resize(800, 0, input, interp) } output.At(0, 0) } func Benchmark_LargeJpegThumbNearestNeighbor(b *testing.B) { jpegThumb(b, NearestNeighbor) } func Benchmark_LargeJpegThumbBilinear(b *testing.B) { jpegThumb(b, Bilinear) } func Benchmark_LargeJpegThumbBicubic(b *testing.B) { jpegThumb(b, Bicubic) } func Benchmark_LargeJpegThumbMitchellNetravali(b *testing.B) { jpegThumb(b, MitchellNetravali) } func Benchmark_LargeJpegThumbLanczos2(b *testing.B) { jpegThumb(b, Lanczos2) } func Benchmark_LargeJpegThumbLanczos3(b *testing.B) { jpegThumb(b, Lanczos3) }