既然要滤波,先添加点噪点:
public static BMPImage AddNoise(BMPImage img){ BMPImage img2=new BMPImage(img.width,img.height); for(int i=1;i<img.height-1;i++){ for(int j=1;j<img.width-1;j++){ img2.red[i][j]=img.red[i][j]; img2.green[i][j]=img.green[i][j]; img2.blue[i][j]=img.blue[i][j]; } } for(int i=1;i<img.height-1;i++){ for(int j=1;j<img.width-1;j++){ double flag= Math.random(); if(flag>0.98) { img2.red[i][j] = 0; img2.green[i][j] = 0; img2.blue[i][j] = 0; } } } return img2; }
均值滤波:
public static BMPImage MeanFiltering(BMPImage img){ BMPImage img2=new BMPImage(img.width,img.height); for(int i=1;i<img.height-1;i++){ for(int j=1;j<img.width-1;j++){ int r=0,g=0,b=0; for(int m=-1;m<=1;m++){ for(int n=-1;n<=1;n++){ r+=img.red[i+m][j+n]; g+=img.green[i+m][j+n]; b+=img.blue[i+m][j+n]; } } img2.red[i][j]=(int)(r/9.0); img2.green[i][j]=(int)(g/9.0); img2.blue[i][j]=(int)(b/9.0); } } return img2; }
中值滤波:
public static BMPImage MidFiltering(BMPImage img){ BMPImage img2=new BMPImage(img.width,img.height); for(int i=1;i<img.height-1;i++){ for(int j=1;j<img.width-1;j++){ int[] r=new int[9]; int[] g=new int[9]; int[] b=new int[9]; int cnt=0; for(int m=-1;m<=1;m++){ for(int n=-1;n<=1;n++){ r[cnt]=img.red[i+m][j+n]; g[cnt]=img.green[i+m][j+n]; b[cnt]=img.blue[i+m][j+n]; cnt++; } } Arrays.sort(r); Arrays.sort(g); Arrays.sort(b); img2.red[i][j]=r[4]; img2.green[i][j]=g[4]; img2.blue[i][j]=b[4]; } } return img2; }