我想在我的应用中以真实的黑白照片。我也在该网站上搜索了解决方案,但是我总能找到将照片放成灰度级的解决方案(例如this topic),但这不是我想要的...

我还发现了一个提出这一建议的主题:

public static Bitmap createContrast(Bitmap src, double value) {
// image size

                int width = src.getWidth();
                int height = src.getHeight();
                // create output bitmap
                Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
                // color information
                int A, R, G, B;
                int pixel;
                // get contrast value
                double contrast = Math.pow((100 + value) / 100, 2);

        // scan through all pixels
        for (int x = 0; x < width; ++x) {
            for (int y = 0; y < height; ++y) {
                // get pixel color
                pixel = src.getPixel(x, y);
                A = Color.alpha(pixel);
                // apply filter contrast for every channel R, G, B
                R = Color.red(pixel);
                R = (int) (((((R / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
                if (R < 0) {
                    R = 0;
                } else if (R > 255) {
                    R = 255;
                }

                G = Color.red(pixel);
                G = (int) (((((G / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
                if (G < 0) {
                    G = 0;
                } else if (G > 255) {
                    G = 255;
                }

                B = Color.red(pixel);
                B = (int) (((((B / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
                if (B < 0) {
                    B = 0;
                } else if (B > 255) {
                    B = 255;
                }

                // set new pixel color to output bitmap
                bmOut.setPixel(x, y, Color.argb(A, R, G, B));
            }
        }

        return bmOut;

    }

但是图像质量太差了...

请问有人有主意吗?

谢谢

最佳答案

如果您希望图像为1bit黑白图像,则可以使用简单的(慢速)阈值算法

public static Bitmap createBlackAndWhite(Bitmap src) {
    int width = src.getWidth();
    int height = src.getHeight();
    // create output bitmap
    Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
    // color information
    int A, R, G, B;
    int pixel;

    // scan through all pixels
    for (int x = 0; x < width; ++x) {
        for (int y = 0; y < height; ++y) {
            // get pixel color
            pixel = src.getPixel(x, y);
            A = Color.alpha(pixel);
            R = Color.red(pixel);
            G = Color.green(pixel);
            B = Color.blue(pixel);
            int gray = (int) (0.2989 * R + 0.5870 * G + 0.1140 * B);

            // use 128 as threshold, above -> white, below -> black
            if (gray > 128)
                gray = 255;
            else
                gray = 0;
            // set new pixel color to output bitmap
            bmOut.setPixel(x, y, Color.argb(A, gray, gray, gray));
        }
    }
    return bmOut;
}

但是,根据看起来不太好的东西,要获得更好的结果,您需要使用抖动算法,请参阅Algorithm overview-这是阈值方法。

对于256级灰度转换:

根据http://www.mathworks.de/help/toolbox/images/ref/rgb2gray.html,您可以将每个像素的灰度值计算为gray = 0.2989 * R + 0.5870 * G + 0.1140 * B,将其转换为
public static Bitmap createGrayscale(Bitmap src) {
    int width = src.getWidth();
    int height = src.getHeight();
    // create output bitmap
    Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
    // color information
    int A, R, G, B;
    int pixel;

    // scan through all pixels
    for (int x = 0; x < width; ++x) {
        for (int y = 0; y < height; ++y) {
            // get pixel color
            pixel = src.getPixel(x, y);
            A = Color.alpha(pixel);
            R = Color.red(pixel);
            G = Color.green(pixel);
            B = Color.blue(pixel);
            int gray = (int) (0.2989 * R + 0.5870 * G + 0.1140 * B);
            // set new pixel color to output bitmap
            bmOut.setPixel(x, y, Color.argb(A, gray, gray, gray));
        }
    }
    return bmOut;
}

但这很慢,因为您必须分别为数百万个像素执行此操作。

https://stackoverflow.com/a/9377943/995891具有更好的实现方法。
// code from that answer put into method from above
public static Bitmap createGrayscale(Bitmap src) {
    int width = src.getWidth();
    int height = src.getHeight();
    Bitmap bmOut = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
    Canvas canvas = new Canvas(bmOut);
    ColorMatrix ma = new ColorMatrix();
    ma.setSaturation(0);
    Paint paint = new Paint();
    paint.setColorFilter(new ColorMatrixColorFilter(ma));
    canvas.drawBitmap(src, 0, 0, paint);
    return bmOut;
}

09-11 17:49