Update benchmarks to focus on conversion performance.

Benchmark each interpolation function for RGBA and YCbCr images.
Reduce the image size used when benchmarking to reduce the influence of
memory performance on results.

resize_test.go

@@ -85,56 +85,105 @@ func Test_SameSizeReturnsOriginal(t *testing.T) {
 	}
 }
 
-func Benchmark_BigResizeLanczos3(b *testing.B) {
-	var m image.Image
+const (
+	// Use a small image size for benchmarks. We don't want memory performance
+	// to affect the benchmark results.
+	benchMaxX = 250
+	benchMaxY = 250
+
+	// Resize values near the original size require increase the amount of time
+	// resize spends converting the image.
+	benchWidth  = 200
+	benchHeight = 200
+)
+
+func benchRGBA(b *testing.B, interp InterpolationFunction) {
+	m := image.NewRGBA(image.Rect(0, 0, benchMaxX, benchMaxY))
+	// Initialize m's pixels to create a non-uniform image.
+	for y := m.Rect.Min.Y; y < m.Rect.Max.Y; y++ {
+		for x := m.Rect.Min.X; x < m.Rect.Max.X; x++ {
+			i := m.PixOffset(x, y)
+			m.Pix[i+0] = uint8(y + 4*x)
+			m.Pix[i+1] = uint8(y + 4*x)
+			m.Pix[i+2] = uint8(y + 4*x)
+			m.Pix[i+3] = uint8(4*y + x)
+		}
+	}
+
+	var out image.Image
+	b.ResetTimer()
 	for i := 0; i < b.N; i++ {
-		m = Resize(1000, 1000, img, Lanczos3)
+		out = Resize(benchWidth, benchHeight, m, interp)
 	}
-	m.At(0, 0)
+	out.At(0, 0)
 }
 
-func Benchmark_Reduction(b *testing.B) {
-	largeImg := image.NewRGBA(image.Rect(0, 0, 1000, 1000))
+// The names of some interpolation functions are truncated so that the columns
+// of 'go test -bench' line up.
+func Benchmark_Nearest_RGBA(b *testing.B) {
+	benchRGBA(b, NearestNeighbor)
+}
 
-	var m image.Image
+func Benchmark_Bilinear_RGBA(b *testing.B) {
+	benchRGBA(b, Bilinear)
+}
+
+func Benchmark_Bicubic_RGBA(b *testing.B) {
+	benchRGBA(b, Bicubic)
+}
+
+func Benchmark_Mitchell_RGBA(b *testing.B) {
+	benchRGBA(b, MitchellNetravali)
+}
+
+func Benchmark_Lanczos2_RGBA(b *testing.B) {
+	benchRGBA(b, Lanczos2)
+}
+
+func Benchmark_Lanczos3_RGBA(b *testing.B) {
+	benchRGBA(b, Lanczos3)
+}
+
+func benchYCbCr(b *testing.B, interp InterpolationFunction) {
+	m := image.NewYCbCr(image.Rect(0, 0, benchMaxX, benchMaxY), image.YCbCrSubsampleRatio422)
+	// Initialize m's pixels to create a non-uniform image.
+	for y := m.Rect.Min.Y; y < m.Rect.Max.Y; y++ {
+		for x := m.Rect.Min.X; x < m.Rect.Max.X; x++ {
+			yi := m.YOffset(x, y)
+			ci := m.COffset(x, y)
+			m.Y[yi] = uint8(16*y + x)
+			m.Cb[ci] = uint8(y + 16*x)
+			m.Cr[ci] = uint8(y + 16*x)
+		}
+	}
+	var out image.Image
+	b.ResetTimer()
 	for i := 0; i < b.N; i++ {
-		m = Resize(300, 300, largeImg, Bicubic)
+		out = Resize(benchWidth, benchHeight, m, interp)
 	}
-	m.At(0, 0)
+	out.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)
+func Benchmark_Nearest_YCC(b *testing.B) {
+	benchYCbCr(b, NearestNeighbor)
 }
 
-	output.At(0, 0)
+func Benchmark_Bilinear_YCC(b *testing.B) {
+	benchYCbCr(b, Bilinear)
 }
 
-func Benchmark_LargeJpegThumbNearestNeighbor(b *testing.B) {
-	jpegThumb(b, NearestNeighbor)
+func Benchmark_Bicubic_YCC(b *testing.B) {
+	benchYCbCr(b, Bicubic)
 }
 
-func Benchmark_LargeJpegThumbBilinear(b *testing.B) {
-	jpegThumb(b, Bilinear)
+func Benchmark_Mitchell_YCC(b *testing.B) {
+	benchYCbCr(b, MitchellNetravali)
 }
 
-func Benchmark_LargeJpegThumbBicubic(b *testing.B) {
-	jpegThumb(b, Bicubic)
+func Benchmark_Lanczos2_YCC(b *testing.B) {
+	benchYCbCr(b, Lanczos2)
 }
 
-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)
+func Benchmark_Lanczos3_YCC(b *testing.B) {
+	benchYCbCr(b, Lanczos3)
 }