使用verilog 实现Jarvis dither 代码，图像误差扩散

以下是一个使用Verilog实现Jarvis dither和误差扩散的代码：

module jarvis_dither_error_diffusion(
  input [7:0] pixel_in,
  output [7:0] pixel_out,
  input clk,
  input rst
);

reg signed [8:0] quant_error;
reg signed [8:0] dither_noise;
reg signed [8:0] dithered_pixel;
reg signed [8:0] err1, err2, err3, err4, err5, err6, err7, err8;

assign pixel_out = dithered_pixel;

always @(posedge clk) begin
  if (rst) begin
    quant_error <= 0;
    dither_noise <= 0;
    dithered_pixel <= 0;
    err1 <= 0;
    err2 <= 0;
    err3 <= 0;
    err4 <= 0;
    err5 <= 0;
    err6 <= 0;
    err7 <= 0;
    err8 <= 0;
  end else begin
    quant_error <= pixel_in - dithered_pixel;
    dither_noise <= (quant_error >> 5) + (quant_error >> 6) + (quant_error >> 7) + (quant_error >> 8);
    dithered_pixel <= pixel_in + dither_noise + err1;
    err1 <= quant_error + ((dither_noise * 7) >> 4);
    err2 <= ((dither_noise * 5) >> 4) + err3;
    err3 <= ((dither_noise * 3) >> 4) + err4;
    err4 <= (dither_noise >> 4) + err5;
    err5 <= (dither_noise >> 5) + err6;
    err6 <= (dither_noise >> 6) + err7;
    err7 <= (dither_noise >> 7) + err8;
    err8 <= dither_noise >> 8;
  end
end

endmodule

这个模块接受一个8位像素值作为输入，并使用Jarvis dither和误差扩散算法添加噪声。在每个时钟上升沿，它计算当前采样的量化误差，并加上一个由该误差的一个分数位和五分之一、六分之一、七分之一和八分之一位组成的噪声成分，以产生一个输出像素值。此外，它还将误差扩散到相邻的像素，以帮助减少量化误差产生的噪声。这种方法可以用于改善图像质量，特别是在低比特深度的情况下。