go-resize/filters.go

/*
Copyright (c) 2012, Jan Schlicht <jan.schlicht@gmail.com>

Permission to use, copy, modify, and/or distribute this software for any purpose
with or without fee is hereby granted, provided that the above copyright notice
and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
THIS SOFTWARE.
*/

package resize

import (
	"image"
	"image/color"
	"math"
)

// color.RGBA64 as array
type rgba16 [4]uint16

// build rgba16 from an arbitrary color
func toRgba16(c color.Color) rgba16 {
	r, g, b, a := c.RGBA()
	return rgba16{uint16(r), uint16(g), uint16(b), uint16(a)}
}

func clampToUint16(x float32) (y uint16) {
	y = uint16(x)
	if x < 0 {
		y = 0
	} else if x > float32(0xfffe) {
		y = 0xffff
	}
	return
}

type filterModel struct {
	src     image.Image
	size    int
	kernel  func(float32) float32
	tempRow []rgba16
	tempCol []rgba16
}

func (f *filterModel) convolution1d(x float32, p []rgba16) (c rgba16) {
	var k float32
	var sum float32 = 0
	l := [4]float32{0.0, 0.0, 0.0, 0.0}

	for j := range p {
		k = f.kernel(x - float32(j))
		sum += k
		for i := range c {
			l[i] += float32(p[j][i]) * k
		}
	}
	for i := range c {
		c[i] = clampToUint16(l[i] / sum)
	}
	return
}

func (f *filterModel) Interpolate(x, y float32) color.RGBA64 {
	xf, yf := int(x)-f.size/2+1, int(y)-f.size/2+1
	x -= float32(xf)
	y -= float32(yf)

	for i := 0; i < f.size; i++ {
		for j := 0; j < f.size; j++ {
			f.tempRow[j] = toRgba16(f.src.At(xf+j, yf+i))
		}
		f.tempCol[i] = f.convolution1d(x, f.tempRow)
	}

	c := f.convolution1d(y, f.tempCol)
	return color.RGBA64{c[0], c[1], c[2], c[3]}
}

// Nearest-neighbor interpolation
func NearestNeighbor(img image.Image) Filter {
	return &filterModel{img, 2, func(x float32) (y float32) {
		if x >= -0.5 && x < 0.5 {
			y = 1
		} else {
			y = 0
		}
		return
	}, make([]rgba16, 2), make([]rgba16, 2)}
}

// Bilinear interpolation
func Bilinear(img image.Image) Filter {
	return &filterModel{img, 2, func(x float32) float32 {
		return 1 - float32(math.Abs(float64(x)))
	}, make([]rgba16, 2), make([]rgba16, 2)}
}

// Bicubic interpolation (with cubic hermite spline)
func Bicubic(img image.Image) Filter {
	return &filterModel{img, 4, func(x float32) (y float32) {
		absX := float32(math.Abs(float64(x)))
		if absX <= 1 {
			y = absX*absX*(1.5*absX-2.5) + 1
		} else {
			y = absX*(absX*(2.5-0.5*absX)-4) + 2
		}
		return
	}, make([]rgba16, 4), make([]rgba16, 4)}
}

func MitchellNetravali(img image.Image) Filter {
	return &filterModel{img, 4, func(x float32) (y float32) {
		absX := float32(math.Abs(float64(x)))
		if absX <= 1 {
			y = absX*absX*(7*absX-12) + 16.0/3
		} else {
			y = -(absX - 2) * (absX - 2) / 3 * (7*absX - 8)
		}
		return
	}, make([]rgba16, 4), make([]rgba16, 4)}
}

func lanczosKernel(a uint) func(float32) float32 {
	return func(x float32) float32 {
		return float32(Sinc(float64(x))) * float32(Sinc(float64(x/float32(a))))
	}
}

// Lanczos interpolation (a=2).
func Lanczos2(img image.Image) Filter {
	return &filterModel{img, 4, lanczosKernel(2), make([]rgba16, 4), make([]rgba16, 4)}
}

// Lanczos interpolation (a=3).
func Lanczos3(img image.Image) Filter {
	return &filterModel{img, 6, lanczosKernel(3), make([]rgba16, 6), make([]rgba16, 6)}
}