圖像處理之調整亮度與飽和度

什么是亮度：

簡單點說一幅圖像的亮度屬性是圖像的RGB值的大小，RGB各個值越大亮度越高RGB

分量取值范圍為0～255之間。調整圖像亮度。

什么是飽和度：

飽和度是是指顏色的強度，調整飽和度可以修正過度曝光或者未充分曝光的圖片。使

圖像看上去更加自然。

基本思想：

通常在RGB色彩空間調整亮度與飽和度不是很直觀，而HSL彩色空可以很直觀表示出

每個像素的飽和度與亮度。所以首先讀取圖像的像素RGB值然后再轉換到HSL空間得

到飽和度與亮度值，調整以后再從HSL空間轉換到RGB空間的RGB值，對每個像素完

成這樣的調整就完成圖像的亮度與飽和度調整。關于RGB與HSL色彩空間的轉換

看這里：http://en.wikipedia.org/wiki/HSL_color_space

程序效果：

濾鏡源代碼：

package com.gloomyfish.filter.study; import java.awt.image.BufferedImage; /** * http://en.wikipedia.org/wiki/HSL_color_space * @author gloomy fish * @date 2012-09-26 * */ public class HSLFilter extends AbstractBufferedImageOp { public final static double c1o60 = 1.0 / 60.0; public final static double c1o255 = 1.0 / 255.0; private double hue; private double saturation; private double lightness; public HSLFilter() { System.out.println("Hue Filter"); } public double getHue() { return hue; } public void setHue(double hue) { while (hue < 0.0) { this.hue += 360; } while (hue >= 360.0) { this.hue -= 360; } } public double getSaturation() { return saturation; } public void setSaturation(double saturation) { if((saturation >= -100.0) && (saturation <= 100.0)) { this.saturation = saturation; } } public double getLightness() { return lightness; } public void setLightness(double lightness) { if((lightness >= -100.0) && (lightness <= 100.0)) { this.lightness = lightness; } } @Override public BufferedImage filter(BufferedImage src, BufferedImage dest) { int width = src.getWidth(); int height = src.getHeight(); double sat = 127.0d * saturation / 100.0d; double lum = 127.0d * lightness / 100.0d; if ( dest == null ) dest = createCompatibleDestImage( src, null ); int[] inPixels = new int[width*height]; int[] outPixels = new int[width*height]; getRGB( src, 0, 0, width, height, inPixels ); double min, max, dif, sum; double f1, f2; int index = 0; double h, s, l; double v1, v2, v3, h1; for(int row=0; row> 24) & 0xff; tr = (inPixels[index] >> 16) & 0xff; tg = (inPixels[index] >> 8) & 0xff; tb = inPixels[index] & 0xff; // convert to HSL space min = tr; if (tg < min) min = tg; if (tb < min) min = tb; max = tr; f1 = 0.0; f2 = tg - tb; if (tg > max) { max = tg; f1 = 120.0; f2 = tb - tr; } if (tb > max) { max = tb; f1 = 240.0; f2 = tr - tg; } dif = max - min; sum = max + min; l = 0.5 * sum; if (dif == 0) { h = 0.0; s = 0.0; } else if(l < 127.5) { s = 255.0 * dif / sum; } else { s = 255.0 * dif / (510.0 - sum); } h = (f1 + 60.0 * f2 / dif); if (h < 0.0) { h += 360.0; } if (h >= 360.0) { h -= 360.0; } // Apply transformation. h = h + hue; if( h >= 360.0) { h = h - 360.0; } s = s + sat; if( s < 0.0) { s = 0.0; } if( s > 255.0) { s = 255.0; } l = l + lum; if( l < 0.0) { l = 0.0; } if( l > 255.0) { l = 255.0; } // conversion back to RGB space here!! if (s == 0) { tr = (int)l; tg = (int)l; tb = (int)l; } else { if (l < 127.5) { v2 = c1o255 * l * (255 + s); } else { v2 = l + s - c1o255 * s * l; } v1 = 2 * l - v2; v3 = v2 - v1; h1 = h + 120.0; if (h1 >= 360.0) h1 -= 360.0; if (h1 < 60.0) { tr = (int)(v1 + v3 * h1 * c1o60); } else if (h1 < 180.0) { tr = (int)v2; } else if (h1 < 240.0) { tr = (int)(v1 + v3 * (4 - h1 * c1o60)); } else { tr = (int)v1; } h1 = h; if (h1 < 60.0) { tg = (int)(v1 + v3 * h1 * c1o60); } else if (h1 < 180.0) { tg = (int)v2; } else if (h1 < 240.0) { tg = (int)(v1 + v3 * (4 - h1 * c1o60)); } else { tg = (int)v1; } h1 = h - 120.0; if (h1 < 0.0) { h1 += 360.0; } if (h1 < 60.0) { tb = (int)(v1 + v3 * h1 * c1o60); } else if (h1 < 180.0) { tb = (int)v2; } else if (h1 < 240.0) { tb = (int)(v1 + v3 * (4 - h1 * c1o60)); } else { tb = (int)v1; } } outPixels[index] = (ta << 24) | (tr << 16) | (tg << 8) | tb; } } setRGB( dest, 0, 0, width, height, outPixels ); return dest; } }轉載請務必注明出處，

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