Android高效能高斯模糊方案

阿新 • • 發佈：2018-12-23

簡述：

做直播類app的時候點選進入直播間接通的過程中首先顯示一張模糊的毛玻璃效果的圖片，那麼此時就要考慮使用高斯模糊的時候了。Android中提供了RenderScript來操作圖片，但是這個的使用版本要求是在API17以上，所以我們還可以考慮使用第三方可FastBlur。

使用RenderScript方案：

Renderscript是android平臺上進行高效能運算的框架。Renderscript主要面向平行計算，雖然它對計算密集型工作也是有益的。Renderscript在執行時將在裝置上可用的處理器間平衡負載，比如多核CPU，GPU或者DSP，它讓你專注於演算法而不是平衡負載。RenderScript對影象處理，計算攝影學，計算機視覺方面的應用非常有用。

為了提高模糊的效果以及減少模糊過程中效能的消耗，首先對待模糊的圖片進行壓縮。廢話少說，上程式碼：

/**
 * 類描述：利用RenderScript進行圖片的高斯模糊（該方案相容最低版本API17）
 * Created by lizhenya on 16/5/28.
 */
public class RenderScriptBlur {
    private static final float BITMAP_SCALE = 0.4f;
    private static final int BLUR_RADIUS = 7;

    public static Bitmap blur(Context context, Bitmap bitmap) {
        return blur(context, bitmap, BITMAP_SCALE, BLUR_RADIUS);
    }

    public static Bitmap blur(Context context, Bitmap bitmap, float bitmap_scale) {
        return blur(context, bitmap, bitmap_scale, BLUR_RADIUS);
    }

    public static Bitmap blur(Context context, Bitmap bitmap, int blur_radius) {
        return blur(context, bitmap, BITMAP_SCALE, blur_radius);
    }

    @TargetApi(Build.VERSION_CODES.JELLY_BEAN_MR1)
    public static Bitmap blur(Context context, Bitmap bitmap, float bitmap_scale, int blur_radius) {
        //先對圖片進行壓縮然後再blur
        Bitmap inputBitmap = Bitmap.createScaledBitmap(bitmap, Math.round(bitmap.getWidth() * bitmap_scale),
                Math.round(bitmap.getHeight() * bitmap_scale), false);
        //建立空的Bitmap用於輸出
        Bitmap outputBitmap = Bitmap.createBitmap(inputBitmap);
        //①、初始化Renderscript
        RenderScript rs = RenderScript.create(context);
        //②、Create an Intrinsic Blur Script using the Renderscript
        ScriptIntrinsicBlur theIntrinsic = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));
        //③、native層分配記憶體空間
        Allocation tmpIn = Allocation.createFromBitmap(rs, inputBitmap);
        Allocation tmpOut = Allocation.createFromBitmap(rs, outputBitmap);
        //④、設定blur的半徑然後進行blur
        theIntrinsic.setRadius(blur_radius);
        theIntrinsic.setInput(tmpIn);
        theIntrinsic.forEach(tmpOut);
        //⑤、拷貝blur後的資料到java緩衝區中
        tmpOut.copyTo(outputBitmap);
        //⑥、銷燬Renderscript
        rs.destroy();
        bitmap.recycle();

        return outputBitmap;
    }


}

實際效果如何呢？下面我把多次測試打印出來的日誌貼出來：

07-28 17:16:32.394 20734-20734/? E/TAg: 耗時時間：30ms
07-28 17:16:33.450 20734-20734/? E/TAg: 耗時時間：13ms
07-28 17:16:34.207 20734-20734/? E/TAg: 耗時時間：7ms
07-28 17:16:35.045 20734-20734/? E/TAg: 耗時時間：9ms
07-28 17:16:35.909 20734-20734/? E/TAg: 耗時時間：6ms
07-28 17:16:36.806 20734-20734/? E/TAg: 耗時時間：9ms
07-28 17:16:39.312 20734-20734/? E/TAg: 耗時時間：7ms
07-28 17:16:44.045 20734-20734/? E/TAg: 耗時時間：8ms
07-28 17:16:44.877 20734-20734/? E/TAg: 耗時時間：8ms
07-28 17:16:45.555 20734-20734/? E/TAg: 耗時時間：13ms
07-28 17:16:46.202 20734-20734/? E/TAg: 耗時時間：8ms
07-28 17:16:46.901 20734-20734/? E/TAg: 耗時時間：9ms
07-28 17:16:47.952 20734-20734/? E/TAg: 耗時時間：7ms

上面的日誌可以一眼看得出平均時間是小於16ms的，時間效能槓槓的。但是這個方案只能適用於API17以上的版本，對於低版本怎麼辦呢？上網搜了一圈，看到一個第三方的框架FastBlur。

使用FastBlur相容低版本：

/**
 * Created by paveld on 3/6/14.
 */
public class StackBlur {

    public static Bitmap doBlur(Bitmap sentBitmap, int radius, boolean canReuseInBitmap) {

        // Stack Blur v1.0 from
        // http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
        //
        // Java Author: Mario Klingemann
        // http://incubator.quasimondo.com
        // created Feburary 29, 2004
        // Android port : Yahel Bouaziz
        // http://www.kayenko.com
        // ported april 5th, 2012

        // This is a compromise between Gaussian Blur and Box blur
        // It creates much better looking blurs than Box Blur, but is
        // 7x faster than my Gaussian Blur implementation.
        //
        // I called it Stack Blur because this describes best how this
        // filter works internally: it creates a kind of moving stack
        // of colors whilst scanning through the image. Thereby it
        // just has to add one new block of color to the right side
        // of the stack and remove the leftmost color. The remaining
        // colors on the topmost layer of the stack are either added on
        // or reduced by one, depending on if they are on the right or
        // on the left side of the stack.
        //
        // If you are using this algorithm in your code please add
        // the following line:
        //
        // Stack Blur Algorithm by Mario Klingemann

        Bitmap bitmap;
        if (canReuseInBitmap) {
            bitmap = sentBitmap;
        } else {
            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];
        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;
            }
        }

        bitmap.setPixels(pix, 0, w, 0, 0, w, h);

        return (bitmap);
    }
}

這個方案的時間效能慘不忍睹呀，遠遠大於16ms，

07-28 18:33:14.751 11928-11928/? E/TAg: 耗時時間：483ms
07-28 18:33:17.602 11928-11928/? E/TAg: 耗時時間：431ms
07-28 18:33:19.176 11928-11928/? E/TAg: 耗時時間：369ms
07-28 18:33:20.452 11928-11928/? E/TAg: 耗時時間：405ms
07-28 18:33:21.599 11928-11928/? E/TAg: 耗時時間：412ms
07-28 18:33:22.791 11928-11928/? E/TAg: 耗時時間：368ms
07-28 18:33:23.970 11928-11928/? E/TAg: 耗時時間：314ms
07-28 18:33:25.059 11928-11928/? E/TAg: 耗時時間：335ms
07-28 18:33:25.886 11928-11928/? E/TAg: 耗時時間：384ms
07-28 18:33:26.806 11928-11928/? E/TAg: 耗時時間：404ms
07-28 18:33:27.423 11928-11928/? E/TAg: 耗時時間：473ms
07-28 18:33:27.959 11928-11928/? E/TAg: 耗時時間：373ms

封裝為工具類：

import android.annotation.TargetApi;
import android.content.Context;
import android.graphics.Bitmap;
import android.os.Build;
import android.renderscript.Allocation;
import android.renderscript.Element;
import android.renderscript.RenderScript;
import android.renderscript.ScriptIntrinsicBlur;

/**
 * @author lizhenya
 *
 * @time 16/5/28
 * 
 * @類描述：
 */
public class GauseBulrHelper {
	private static final float BITMAP_SCALE = 0.4f;
	private static final int BLUR_RADIUS = 7;

	/**
	 * @方法描述：模糊圖片
	 * @author lizhenya
	 * @param context
	 *            上下文
	 * @param bitmap
	 *            待模糊的圖片
	 * @return 模糊後的圖片
	 */
	public static Bitmap blur(Context context, Bitmap bitmap) {
		return blur(context, bitmap, BLUR_RADIUS, BITMAP_SCALE, true);
	}

	/**
	 * @方法描述：圖片進行模糊
	 * @author lizhenya
	 * @param context
	 *            上下文
	 * @param bitmap
	 *            待模糊的圖片
	 * @param canReuseInBitmap
	 *            原始Bitmap是否還會使用（如果原始圖片還會再次使用則引數設為true，否則會報出java.lang.
	 *            IllegalStateException異常，一般情況下設為true防止程式出錯）
	 * @return 模糊後的圖片
	 */
	public static Bitmap blur(Context context, Bitmap bitmap,
			boolean canReuseInBitmap) {
		return blur(context, bitmap, BLUR_RADIUS, BITMAP_SCALE,
				canReuseInBitmap);
	}

	/**
	 * 
	 * @方法描述：
	 * @author lizhenya
	 * @param context
	 *            上下文
	 * @param bitmap
	 *            待模糊的圖片
	 * @param blur_radius
	 *            模糊半徑（1~25的正整數）
	 * @param canReuseInBitmap
	 *            原始Bitmap是否還會使用（如果原始圖片還會再次使用則引數設為true，否則會報出java.lang.
	 *            IllegalStateException異常，一般情況下設為true防止程式出錯）
	 * @return 模糊後的圖片
	 */
	public static Bitmap blur(Context context, Bitmap bitmap, int blur_radius,
			boolean canReuseInBitmap) {
		return blur(context, bitmap, blur_radius, BITMAP_SCALE,
				canReuseInBitmap);
	}

	/**
	 * 
	 * @方法描述：
	 * @author lizhenya
	 * @param context
	 *            上下文
	 * @param bitmap
	 *            待模糊的圖片
	 * @param bitmapScale
	 *            圖片的壓縮因子
	 * @param canReuseInBitmap
	 *            原始Bitmap是否還會使用（如果原始圖片還會再次使用則引數設為true，否則會報出java.lang.
	 *            IllegalStateException異常，一般情況下設為true防止程式出錯）
	 * @return 模糊後的圖片
	 */
	public static Bitmap blur(Context context, Bitmap bitmap,
			float bitmapScale, boolean canReuseInBitmap) {
		return blur(context, bitmap, BLUR_RADIUS, bitmapScale, canReuseInBitmap);
	}

	public static Bitmap blur(Context context, Bitmap bitmap, int blur_radius,
			float bitmapScale, boolean canReuseInBitmap) {
		if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR1) {
			return RSBlur(context, bitmap, bitmapScale, blur_radius);
		} else {
			return doBlur(bitmap, blur_radius, canReuseInBitmap);
		}
	}

	@TargetApi(Build.VERSION_CODES.JELLY_BEAN_MR1)
	public static Bitmap RSBlur(Context context, Bitmap bitmap,
			float bitmap_scale, int blur_radius) {
		// 先對圖片進行壓縮然後再blur
		Bitmap inputBitmap = Bitmap.createScaledBitmap(bitmap,
				Math.round(bitmap.getWidth() * bitmap_scale),
				Math.round(bitmap.getHeight() * bitmap_scale), false);
		// 建立空的Bitmap用於輸出
		Bitmap outputBitmap = Bitmap.createBitmap(inputBitmap);
		// ①、初始化Renderscript
		RenderScript rs = RenderScript.create(context);
		// ②、Create an Intrinsic Blur Script using the Renderscript
		ScriptIntrinsicBlur theIntrinsic = ScriptIntrinsicBlur.create(rs,
				Element.U8_4(rs));
		// ③、native層分配記憶體空間
		Allocation tmpIn = Allocation.createFromBitmap(rs, inputBitmap);
		Allocation tmpOut = Allocation.createFromBitmap(rs, outputBitmap);
		// ④、設定blur的半徑然後進行blur
		theIntrinsic.setRadius(blur_radius);
		theIntrinsic.setInput(tmpIn);
		theIntrinsic.forEach(tmpOut);
		// ⑤、拷貝blur後的資料到java緩衝區中
		tmpOut.copyTo(outputBitmap);
		// ⑥、銷燬Renderscript
		rs.destroy();
		bitmap.recycle();

		return outputBitmap;
	}

	public static Bitmap doBlur(Bitmap sentBitmap, int radius,
			boolean canReuseInBitmap) {

		// Stack Blur v1.0 from
		// http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html
		//
		// Java Author: Mario Klingemann
		// http://incubator.quasimondo.com
		// created Feburary 29, 2004
		// Android port : Yahel Bouaziz
		// http://www.kayenko.com
		// ported april 5th, 2012

		// This is a compromise between Gaussian Blur and Box blur
		// It creates much better looking blurs than Box Blur, but is
		// 7x faster than my Gaussian Blur implementation.
		//
		// I called it Stack Blur because this describes best how this
		// filter works internally: it creates a kind of moving stack
		// of colors whilst scanning through the image. Thereby it
		// just has to add one new block of color to the right side
		// of the stack and remove the leftmost color. The remaining
		// colors on the topmost layer of the stack are either added on
		// or reduced by one, depending on if they are on the right or
		// on the left side of the stack.
		//
		// If you are using this algorithm in your code please add
		// the following line:
		//
		// Stack Blur Algorithm by Mario Klingemann

		Bitmap bitmap;
		if (canReuseInBitmap) {
			bitmap = sentBitmap;
		} else {
			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];
		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;
			}
		}

		bitmap.setPixels(pix, 0, w, 0, 0, w, h);

		return (bitmap);
	}
}

工具類的使用：

		// 四種方式任選其一
		Bitmap blur = GauseBulrHelper.blur(getApplicationContext(), bitmap);
		Bitmap blur2 = GauseBulrHelper.blur(getApplicationContext(), bitmap,
				true);
		Bitmap blur3 = GauseBulrHelper.blur(getApplicationContext(), bitmap, 7,
				true);
		Bitmap blur4 = GauseBulrHelper.blur(getApplicationContext(), bitmap,
				(float) 0.4, true);
		Bitmap blur5 = GauseBulrHelper.blur(getApplicationContext(), bitmap, 7,
				(float) 0.4, true);

		imageView.setImageBitmap(bitmap);

這個結果也能滿足基本的需求，但是對於效能有待進一步的優化。

Android高效能高斯模糊方案

簡述：

使用RenderScript方案：

使用FastBlur相容低版本：

Android高效能高斯模糊方案

Android 圖片高斯模糊解決方案

Android Glide高斯模糊載入圖片

封裝個 Android 的高斯模糊元件

Android實現高斯模糊（也叫毛玻璃效果）

Android快速高斯模糊對話方塊

Android之高斯模糊的記錄

Android 圖片高斯模糊處理

cocos2dx 高效能高斯模糊（包含lua介面）

Android開發高斯模糊的實現

android 實現高斯模糊

android實現高斯模糊功能

Android實現高斯模糊

Android簡單、高效能的高斯模糊（毛玻璃）效果(附原始碼)

Android使用RenderScript實現圖片的高斯模糊效果

Android 使用Glide4.7.1對圖片進行圓角處理和高斯模糊

android-support-v8 建立高斯模糊

Android 高斯模糊效果從319ms到3ms的優化實現

Android區域性動態高斯模糊以及側滑選單配合高斯模糊

Android 圖片模糊、高斯模糊、毛玻璃的三種實現方法

Android高效能高斯模糊方案

簡述：

使用RenderScript方案：

使用FastBlur相容低版本：

相關推薦