- 均值滤波和中值滤波的内容非常基础，均值滤波相当于低通滤波，有将图像模糊化的趋势，对椒盐噪声基本无能为力。中值滤波的优点是可以很好的过滤掉椒盐噪声，缺点是易造成图像的不连续性。在下面的代码中，中值滤波主要通过冒泡算法来实现。
程序
中值滤波
public void jMedian_ActionPerformed(ActionEvent e) {
if(flag_load){
try{
PixelGrabber pg = new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch(InterruptedException e3){
e3.printStackTrace();
}
BufferedImage grayImage = new BufferedImage(iw, ih,
BufferedImage.TYPE_INT_RGB);
ColorModel cm = ColorModel.getRGBdefault();
int[] tpRed = new int[9];
int[] tpGreen = new int[9];
int[] tpBlue = new int[9];
for(int i=1;i<ih-1;i++){
for(int j=1;j<iw-1;j++){
tpRed[0] = cm.getRed(pixels[(i-1)*iw+j-1]);
tpRed[1] = cm.getRed(pixels[(i-1)*iw+j]);
tpRed[2] = cm.getRed(pixels[(i-1)*iw+j+1]);
tpRed[3] = cm.getRed(pixels[i*iw+j-1]);
tpRed[4] = cm.getRed(pixels[i*iw+j]);
tpRed[5] = cm.getRed(pixels[i*iw+j+1]);
tpRed[6] = cm.getRed(pixels[(i+1)*iw+j-1]);
tpRed[7] = cm.getRed(pixels[(i+1)*iw+j]);
tpRed[8] = cm.getRed(pixels[(i+1)*iw+j+1]);
for(int rj=0; rj<8; rj++){
for(int ri=0; ri<8-rj; ri++){
if(tpRed[ri]>tpRed[ri+1]){
int Red_Temp = tpRed[ri];
tpRed[ri] = tpRed[ri+1];
tpRed[ri+1] = Red_Temp;
}
}
}
int medianRed = tpRed[4];
tpGreen[0] = cm.getGreen(pixels[(i-1)*iw+j-1]);
tpGreen[1] = cm.getGreen(pixels[(i-1)*iw+j]);
tpGreen[2] = cm.getGreen(pixels[(i-1)*iw+j+1]);
tpGreen[3] = cm.getGreen(pixels[i*iw+j-1]);
tpGreen[4] = cm.getGreen(pixels[i*iw+j]);
tpGreen[5] = cm.getGreen(pixels[i*iw+j+1]);
tpGreen[6] = cm.getGreen(pixels[(i+1)*iw+j-1]);
tpGreen[7] = cm.getGreen(pixels[(i+1)*iw+j]);
tpGreen[8] = cm.getGreen(pixels[(i+1)*iw+j+1]);
for(int rj=0; rj<8; rj++){
for(int ri=0; ri<8-rj; ri++){
if(tpGreen[ri]>tpGreen[ri+1]){
int Green_Temp = tpGreen[ri];
tpGreen[ri] = tpGreen[ri+1];
tpGreen[ri+1] = Green_Temp;
}
}
}
int medianGreen = tpGreen[4];
tpBlue[0] = cm.getBlue(pixels[(i-1)*iw+j-1]);
tpBlue[1] = cm.getBlue(pixels[(i-1)*iw+j]);
tpBlue[2] = cm.getBlue(pixels[(i-1)*iw+j+1]);
tpBlue[3] = cm.getBlue(pixels[i*iw+j-1]);
tpBlue[4] = cm.getBlue(pixels[i*iw+j]);
tpBlue[5] = cm.getBlue(pixels[i*iw+j+1]);
tpBlue[6] = cm.getBlue(pixels[(i+1)*iw+j-1]);
tpBlue[7] = cm.getBlue(pixels[(i+1)*iw+j]);
tpBlue[8] = cm.getBlue(pixels[(i+1)*iw+j+1]);
for(int rj=0; rj<8; rj++){
for(int ri=0; ri<8-rj; ri++){
if(tpBlue[ri]>tpBlue[ri+1]){
int Blue_Temp = tpBlue[ri];
tpBlue[ri] = tpBlue[ri+1];
tpBlue[ri+1] = Blue_Temp;
}
}
}
int medianBlue = tpBlue[4];
int rgb = 255<<24|medianRed<<16|medianGreen<<8|medianBlue;
grayImage.setRGB(j, i, rgb);
}
}
tmp = grayImage;
repaint();
}else{
JOptionPane.showMessageDialog(null, "先点击“装载图像”，3Q！","提示：",
JOptionPane.WARNING_MESSAGE);
}
}
均值滤波
public void jMean_ActionPerformed(ActionEvent e) {
if(flag_load){
try{
PixelGrabber pg = new PixelGrabber(im,0,0,iw,ih,pixels,0,iw);
pg.grabPixels();
}catch(InterruptedException e3){
e3.printStackTrace();
}
BufferedImage grayImage = new BufferedImage(iw, ih,
BufferedImage.TYPE_INT_RGB);
ColorModel cm = ColorModel.getRGBdefault();
for(int i=1;i<ih-1;i++){
for(int j=1;j<iw-1;j++){
int red1 = cm.getRed(pixels[(i-1)*iw+j-1]);
int red2 = cm.getRed(pixels[(i-1)*iw+j]);
int red3 = cm.getRed(pixels[(i-1)*iw+j+1]);
int red4 = cm.getRed(pixels[i*iw+j-1]);
int red6 = cm.getRed(pixels[i*iw+j+1]);
int red7 = cm.getRed(pixels[(i+1)*iw+j-1]);
int red8 = cm.getRed(pixels[(i+1)*iw+j]);
int red9 = cm.getRed(pixels[(i+1)*iw+j+1]);
int meanRed = (red1+red2+red3+red4+red6+red7+red8+red9)/8;
int green1 = cm.getGreen(pixels[(i-1)*iw+j-1]);
int green2 = cm.getGreen(pixels[(i-1)*iw+j]);
int green3 = cm.getGreen(pixels[(i-1)*iw+j+1]);
int green4 = cm.getGreen(pixels[i*iw+j-1]);
int green6 = cm.getGreen(pixels[i*iw+j+1]);
int green7 = cm.getGreen(pixels[(i+1)*iw+j-1]);
int green8 = cm.getGreen(pixels[(i+1)*iw+j]);
int green9 = cm.getGreen(pixels[(i+1)*iw+j+1]);
int meanGreen = (green1+green2+green3+green4+green6+green7+green8+green9)/8;
int blue1 = cm.getBlue(pixels[(i-1)*iw+j-1]);
int blue2 = cm.getBlue(pixels[(i-1)*iw+j]);
int blue3 = cm.getBlue(pixels[(i-1)*iw+j+1]);
int blue4 = cm.getBlue(pixels[i*iw+j-1]);
int blue6 = cm.getBlue(pixels[i*iw+j+1]);
int blue7 = cm.getBlue(pixels[(i+1)*iw+j-1]);
int blue8 = cm.getBlue(pixels[(i+1)*iw+j]);
int blue9 = cm.getBlue(pixels[(i+1)*iw+j+1]);
int meanBlue = (blue1+blue2+blue3+blue4+blue6+blue7+blue8+blue9)/8;
int rgb = 255<<24|meanRed<<16|meanGreen<<8|meanBlue;
grayImage.setRGB(j, i, rgb);
}
}
tmp = grayImage;
repaint();
}else{
JOptionPane.showMessageDialog(null, "先点击“装载图像”，3Q！","提示：",
JOptionPane.WARNING_MESSAGE);
}
}
去噪效果
高斯噪声
椒盐噪声
源码下载
