影像的放大,需要補充沒有的像素,常用的方法有
1.最臨近點插值演算法(Nearest Neighbor)
2.雙線性插值演算法(Bilinear Interpolation)
3.雙立方插值演算法( Bicubic Interpolation)
等等,詳細介紹請看(影像放大演算法)
現在給出用最臨近點插值方法將影像放大兩倍的程式碼
<span style="font-size:14px;"><span style="font-size:10px;">p<span style="font-family:Courier New;">ublic void Todouble(){ int[] doubleData = new int[2*w*2*h]; for (int y = 0; y < h; y++) { for (int x = 0; x < w; x++) { doubleData[2*x + 2*y *2* w] = data[x + y * w]; } } this.h = 2*h; this.w = 2*w; for (int y = 0; y < h; y++) { for (int x = 0; x < w; x++) { if(y%2 == 1) doubleData[x + y*w] = doubleData[x + (y-1)*w]; if(x%2 == 1) doubleData[x + y*w] = doubleData[x-1 + y*w]; } } this.data = doubleData; }</span></span></span>
效果如下:
效果如下:
就比較簡單,縮小就是去掉一些像素點。
縮小的程式碼:
<span style="max-width:90%"><span style="font-size:10px;">public void reduce(int a){//a是缩小的<span style="font-family:Times New Roman;">倍数</span> int nw = w/a; int nh = h/a; int[] d = new int[nw*nh]; for (int y = 0; y < nh; y++) { for (int x = 0; x < nw; x++) { d[x + y*nw] = data[a*x + a*y * w]; } } this.h = nh; this.w = nw; this.data = d; }</span></span>
運作效果如下: