java代码 SSIM算法
时间: 2023-07-10 22:39:21 浏览: 52
以下是Java代码实现的SSIM算法:
```java
import java.awt.Color;
import java.awt.image.BufferedImage;
public class SSIM {
public static double getSSIM(BufferedImage img1, BufferedImage img2) {
int width = img1.getWidth();
int height = img1.getHeight();
int[] pixels1 = img1.getRGB(0, 0, width, height, null, 0, width);
int[] pixels2 = img2.getRGB(0, 0, width, height, null, 0, width);
double[] luminance1 = new double[width * height];
double[] luminance2 = new double[width * height];
double[] contrast = new double[width * height];
double[] structure = new double[width * height];
double ssim = 0.0;
double c1 = Math.pow(0.01 * 255, 2);
double c2 = Math.pow(0.03 * 255, 2);
for (int i = 0; i < pixels1.length; i++) {
Color color1 = new Color(pixels1[i]);
Color color2 = new Color(pixels2[i]);
double r1 = color1.getRed();
double g1 = color1.getGreen();
double b1 = color1.getBlue();
double r2 = color2.getRed();
double g2 = color2.getGreen();
double b2 = color2.getBlue();
luminance1[i] = 0.299 * r1 + 0.587 * g1 + 0.114 * b1;
luminance2[i] = 0.299 * r2 + 0.587 * g2 + 0.114 * b2;
contrast[i] = (2 * luminance1[i] * luminance2[i] + c1) / (Math.pow(luminance1[i], 2) + Math.pow(luminance2[i], 2) + c1);
double sigma1 = getSigma(luminance1, i, width, height);
double sigma2 = getSigma(luminance2, i, width, height);
double sigma12 = getCovariance(luminance1, luminance2, i, width, height) / (width * height - 1);
structure[i] = (sigma12 + c2) / (sigma1 * sigma2 + c2);
ssim += contrast[i] * structure[i];
}
ssim /= width * height;
return ssim;
}
private static double getSigma(double[] luminance, int index, int width, int height) {
double sum = 0.0;
double mean = luminance[index];
int count = 0;
for (int i = -1; i <= 1; i++) {
for (int j = -1; j <= 1; j++) {
int x = (index % width) + i;
int y = (index / width) + j;
if (x >= 0 && x < width && y >= 0 && y < height) {
sum += Math.pow((luminance[width * y + x] - mean), 2);
count++;
}
}
}
return Math.sqrt(sum / (count - 1));
}
private static double getCovariance(double[] luminance1, double[] luminance2, int index, int width, int height) {
double sum = 0.0;
double mean1 = luminance1[index];
double mean2 = luminance2[index];
int count = 0;
for (int i = -1; i <= 1; i++) {
for (int j = -1; j <= 1; j++) {
int x = (index % width) + i;
int y = (index / width) + j;
if (x >= 0 && x < width && y >= 0 && y < height) {
sum += (luminance1[width * y + x] - mean1) * (luminance2[width * y + x] - mean2);
count++;
}
}
}
return sum;
}
}
```
这段代码实现了基于两个输入图像的SSIM(结构相似性度量)算法,其中包括计算亮度、对比度和结构。其中,亮度使用灰度值计算,对比度和结构使用标准的SSIM算法计算。
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