標籤:影像處理 圖片 photoshop 軟體 android
最近項目設計上需要用到稍微比較模糊的圖片,因此我就去百度搜了一下,處理辦法大概就是藉助神器PS(花千骨看多了,呵呵)。但是在程式猿的眼裡,代碼可以實現一切。下面我就來實現一個Android高斯模糊。
高斯模糊:高斯模糊(Gaussian Blur)是美國Adobe映像軟體公司開發的一個影像處理軟體:Adobe Photoshop(系列)中的一個濾鏡,具體的位置在:濾鏡—模糊——高斯模糊!高斯模糊的原理中,它是根據高斯曲線調節象素色值,它是有選擇地模糊映像。說得直白一點,就是高斯模糊能夠把某一點周圍的像素色值按高斯曲線統計起來,採用數學上加權平均的計算方法得到這條曲線的色值,最後能夠留下人物的輪廓,即曲線.是指當 Adobe Photoshop 將加權平均應用於像素時產生的鐘形曲線。
在PS中間,你應該知道所有的顏色不過都是數字,各種模糊不過都是演算法。把要模糊的像素色值統計,用數學上加權平均的計算方法(高斯函數)得到色值,對範圍、半徑等進行模糊,大致就是高斯模糊。
這個比較官方的解釋。
原理:所謂”模糊”,可以理解成每一個像素都取周邊像素的平均值。
高斯模糊原理的圖解
右圖中,2是中間點,周邊點都是1。
“中間點”取”周圍點”的平均值,就會變成1。在數值上,這是一種”平滑化”。在圖形上,就相當於產生”模糊”效果,”中間點”失去細節。
顯然,計算平均值時,取值範圍越大,”模糊效果”越強烈。
RenderScript類:RenderScript 是Android 平台上的一種類C指令碼語言。在我們程式上實現RenderScript 渲染功能。
Android的核心代碼:
“`
public class Blur {
private static final String TAG = "Blur";@SuppressLint("NewApi")public static Bitmap fastblur(Context context, Bitmap sentBitmap, int radius) { if (VERSION.SDK_INT > 16) { Bitmap bitmap = sentBitmap.copy(sentBitmap.getConfig(), true); final RenderScript rs = RenderScript.create(context); final Allocation input = Allocation.createFromBitmap(rs, sentBitmap, Allocation.MipmapControl.MIPMAP_NONE, Allocation.USAGE_SCRIPT); final Allocation output = Allocation.createTyped(rs, input.getType()); final ScriptIntrinsicBlur script = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs)); script.setRadius(radius /* e.g. 3.f */); script.setInput(input); script.forEach(output); output.copyTo(bitmap); return bitmap; } Bitmap bitmap = sentBitmap.copy(sentBitmap.getConfig(), true); if (radius < 1) { return (null); } int w = bitmap.getWidth(); int h = bitmap.getHeight(); int[] pix = new int[w * h]; Log.e("pix", w + " " + h + " " + pix.length); bitmap.getPixels(pix, 0, w, 0, 0, w, h); int wm = w - 1; int hm = h - 1; int wh = w * h; int div = radius + radius + 1; int r[] = new int[wh]; int g[] = new int[wh]; int b[] = new int[wh]; int rsum, gsum, bsum, x, y, i, p, yp, yi, yw; int vmin[] = new int[Math.max(w, h)]; int divsum = (div + 1) >> 1; divsum *= divsum; int dv[] = new int[256 * divsum]; for (i = 0; i < 256 * divsum; i++) { dv[i] = (i / divsum); } yw = yi = 0; int[][] stack = new int[div][3]; int stackpointer; int stackstart; int[] sir; int rbs; int r1 = radius + 1; int routsum, goutsum, boutsum; int rinsum, ginsum, binsum; for (y = 0; y < h; y++) { rinsum = ginsum = binsum = routsum = goutsum = boutsum = rsum = gsum = bsum = 0; for (i = -radius; i <= radius; i++) { p = pix[yi + Math.min(wm, Math.max(i, 0))]; sir = stack[i + radius]; sir[0] = (p & 0xff0000) >> 16; sir[1] = (p & 0x00ff00) >> 8; sir[2] = (p & 0x0000ff); rbs = r1 - Math.abs(i); rsum += sir[0] * rbs; gsum += sir[1] * rbs; bsum += sir[2] * rbs; if (i > 0) { rinsum += sir[0]; ginsum += sir[1]; binsum += sir[2]; } else { routsum += sir[0]; goutsum += sir[1]; boutsum += sir[2]; } } stackpointer = radius; for (x = 0; x < w; x++) { r[yi] = dv[rsum]; g[yi] = dv[gsum]; b[yi] = dv[bsum]; rsum -= routsum; gsum -= goutsum; bsum -= boutsum; stackstart = stackpointer - radius + div; sir = stack[stackstart % div]; routsum -= sir[0]; goutsum -= sir[1]; boutsum -= sir[2]; if (y == 0) { vmin[x] = Math.min(x + radius + 1, wm); } p = pix[yw + vmin[x]]; sir[0] = (p & 0xff0000) >> 16; sir[1] = (p & 0x00ff00) >> 8; sir[2] = (p & 0x0000ff); rinsum += sir[0]; ginsum += sir[1]; binsum += sir[2]; rsum += rinsum; gsum += ginsum; bsum += binsum; stackpointer = (stackpointer + 1) % div; sir = stack[(stackpointer) % div]; routsum += sir[0]; goutsum += sir[1]; boutsum += sir[2]; rinsum -= sir[0]; ginsum -= sir[1]; binsum -= sir[2]; yi++; } yw += w; } for (x = 0; x < w; x++) { rinsum = ginsum = binsum = routsum = goutsum = boutsum = rsum = gsum = bsum = 0; yp = -radius * w; for (i = -radius; i <= radius; i++) { yi = Math.max(0, yp) + x; sir = stack[i + radius]; sir[0] = r[yi]; sir[1] = g[yi]; sir[2] = b[yi]; rbs = r1 - Math.abs(i); rsum += r[yi] * rbs; gsum += g[yi] * rbs; bsum += b[yi] * rbs; if (i > 0) { rinsum += sir[0]; ginsum += sir[1]; binsum += sir[2]; } else { routsum += sir[0]; goutsum += sir[1]; boutsum += sir[2]; } if (i < hm) { yp += w; } } yi = x; stackpointer = radius; for (y = 0; y < h; y++) { // Preserve alpha channel: ( 0xff000000 & pix[yi] ) pix[yi] = (0xff000000 & pix[yi]) | (dv[rsum] << 16) | (dv[gsum] << 8) | dv[bsum]; rsum -= routsum; gsum -= goutsum; bsum -= boutsum; stackstart = stackpointer - radius + div; sir = stack[stackstart % div]; routsum -= sir[0]; goutsum -= sir[1]; boutsum -= sir[2]; if (x == 0) { vmin[y] = Math.min(y + r1, hm) * w; } p = x + vmin[y]; sir[0] = r[p]; sir[1] = g[p]; sir[2] = b[p]; rinsum += sir[0]; ginsum += sir[1]; binsum += sir[2]; rsum += rinsum; gsum += ginsum; bsum += binsum; stackpointer = (stackpointer + 1) % div; sir = stack[stackpointer]; routsum += sir[0]; goutsum += sir[1]; boutsum += sir[2]; rinsum -= sir[0]; ginsum -= sir[1]; binsum -= sir[2]; yi += w; } } Log.e("pix", w + " " + h + " " + pix.length); bitmap.setPixels(pix, 0, w, 0, 0, w, h); return (bitmap);}
}
實現原理其實就是根據高斯函數來實現的。有興趣大家可以去研究這個函數。
用法根據建構函式將相應的值傳入就可以了。
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Android實現圖片高斯模糊