如何优化Android的卷积矩阵 [英] how to optimize convolution matrix in android

问题描述

我使用卷积矩阵<​​/ code>为我制作的图像浮雕Android应用程序。
我已经定义的类作为：

I am using Convolution Matrix for my android app for making image Emboss. i have defined the class for it as:

public class ConvolutionMatrix {
public static final int SIZE = 3;

public double[][] Matrix;
public double Factor = 1;
public double Offset = 1;

public ConvolutionMatrix(int size) {
    Matrix = new double[size][size];
}

public void setAll(double value) {
    for (int x = 0; x < SIZE; ++x) {
        for (int y = 0; y < SIZE; ++y) {
            Matrix[x][y] = value;
        }
    }
}

public void applyConfig(double[][] config) {
    for (int x = 0; x < SIZE; ++x) {
        for (int y = 0; y < SIZE; ++y) {
            Matrix[x][y] = config[x][y];
        }
    }
}

public static Bitmap computeConvolution3x3(Bitmap src,
        ConvolutionMatrix matrix) {
    int width = src.getWidth();
    int height = src.getHeight();
    Bitmap result = Bitmap.createBitmap(width, height, src.getConfig());

    int A, R, G, B;
    int sumR, sumG, sumB;
    int[][] pixels = new int[SIZE][SIZE];

    for (int y = 0; y < height - 2; ++y) {
        for (int x = 0; x < width - 2; ++x) {

            // get pixel matrix
            for (int i = 0; i < SIZE; ++i) {
                for (int j = 0; j < SIZE; ++j) {
                    pixels[i][j] = src.getPixel(x + i, y + j);
                }
            }

            // get alpha of center pixel
            A = Color.alpha(pixels[1][1]);

            // init color sum
            sumR = sumG = sumB = 0;

            // get sum of RGB on matrix
            for (int i = 0; i < SIZE; ++i) {
                for (int j = 0; j < SIZE; ++j) {
                    sumR += (Color.red(pixels[i][j]) * matrix.Matrix[i][j]);
                    sumG += (Color.green(pixels[i][j]) * matrix.Matrix[i][j]);
                    sumB += (Color.blue(pixels[i][j]) * matrix.Matrix[i][j]);
                }
            }

            // get final Red
            R = (int) (sumR / matrix.Factor + matrix.Offset);
            if (R < 0) {
                R = 0;
            } else if (R > 255) {
                R = 255;
            }

            // get final Green
            G = (int) (sumG / matrix.Factor + matrix.Offset);
            if (G < 0) {
                G = 0;
            } else if (G > 255) {
                G = 255;
            }

            // get final Blue
            B = (int) (sumB / matrix.Factor + matrix.Offset);
            if (B < 0) {
                B = 0;
            } else if (B > 255) {
                B = 255;
            }

            // apply new pixel
            result.setPixel(x + 1, y + 1, Color.argb(A, R, G, B));
        }
    }

    // final image
    return result;
}

}

这是给我正确的结果，但它需要太多的时间用于计算结果。有没有什么办法，使计算速度更快，提高工作效率？

It is giving me proper result but it takes too much time for calculating the result. Is there any way to make calculation faster and work efficiently?

推荐答案

看看：卷积演示。这是一个应用程序，它在VS的 C ++ 的比较中的的Java 的做了卷积实现。
不用说C ++变种的运行速度比 10倍更快。

Take a look at: Convolution Demo. It is an App, which compares a convolution implementation done in Java vs in C++. Needless to say C++ variant runs more than 10x faster.

所以，如果你想要的速度或者通过NDK或通过着色器实现它。

So if you want speed either implement it via NDK or via Shaders.

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