有什么算法可以把彩色图片处理成像素化

Question

这种使用像素密度代替颜色的处理方法叫什么??

最像的是波尔卡点 但是又不太一样

求教有什么算法或者处理方法可以实现这种图像

原图

Answer 1

搞到算法啦

    public Bitmap doDither(Bitmap bitmapIn, String color) throws IOException {
        int i;
        int i2;
        Bitmap bitmap = bitmapIn;
        int width = bitmap.getWidth();
        int height = bitmap.getHeight();
        int[][] iArr = (int[][]) Array.newInstance(Integer.TYPE, new int[]{width, height});
        for (i = 0; i < width; i++) {
            for (i2 = 0; i2 < height; i2++) {
                iArr[i][i2] = DitherUtils.getAverage(bitmap.getPixel(i, i2));
            }
        }
        int[][] dither = dither(iArr, height, width);
        int[][] dither2 = DitherUtils.dither(new int[][]{new int[]{255, 84, 255}, new int[]{93, 255, 62}, new int[]{255, 132, 60}}, 3, 3);
        Bitmap createBitmap = Bitmap.createBitmap(width, height, Bitmap.Config.RGB_565);
        for (i2 = 0; i2 < height; i2++) {
            for (i = 0; i < width; i++) {
                int rtrt = ((dither[i][i2] << 16) | (dither[i][i2] << 8)) | dither[i][i2];
                createBitmap.setPixel(i, i2, rtrt);
            }
        }
        return createBitmap;
    }


    private int[][] dither(int[][] pixel, int height, int width) {
        int i = 0;
        while (i < height) {
            int i2 = i < height + -1 ? 1 : 0;
            int i3 = 0;
            while (i3 < width) {
                int i4 = i3 > 0 ? 1 : 0;
                Object obj = i3 < width + -1 ? 1 : null;
                int i5 = pixel[i3][i];
                int i6 = i5 < 128 ? 0 : 255;
                pixel[i3][i] = i6;
                int i7 = i5 - i6;
                int[] iArr;
                if (obj != null) {
                    iArr = pixel[i3 + 1];
                    iArr[i] = iArr[i] + ((i7 * 7) / 16);
                }
                int i8;
                if ((i4 & i2) != 0) {
                    iArr = pixel[i3 - 1];
                    i8 = i + 1;
                    iArr[i8] = iArr[i8] + ((i7 * 3) / 16);
                }
                if (i2 != 0) {
                    iArr = pixel[i3];
                    i8 = i + 1;
                    iArr[i8] = iArr[i8] + ((i7 * 5) / 16);
                }
                if (!(obj == null || i2 == 0)) {
                    iArr = pixel[i3 + 1];
                    i8 = i + 1;
                    iArr[i8] = iArr[i8] + (i7 / 16);
                }
                i3++;
            }
            i++;
        }
        return pixel;
    }

Answer 2

可以搜索关键词“二值化”