给我一个matlab代码,要求对地址为"c:\users\86139\desktop\实验1.jpg
时间: 2024-10-21 21:14:49 浏览: 21
以下是对地址为"C:\Users\86139\Desktop\实验1.jpg"的图片进行Huffman编码的Matlab代码,包括调试程序并给出二叉树表,结果表格呈现以及解码:
```
% 读取图片
A = imread('C:\Users\86139\Desktop\实验1.jpg');
% 将图片转换为灰度图像
grayA = rgb2gray(A);
% 计算灰度图像的直方图
[counts, grayLevels] = imhist(grayA);
% 计算灰度图像的概率分布
p = counts / sum(counts);
% 构建Huffman树
symbols = transpose(0:255);
dict = huffmandict(symbols, p);
hcode = dict(:, 2);
% 对灰度图像进行Huffman编码
[huffCodes, ~] = huffmanenco(grayA(:), hcode);
% 将Huffman编码转换为二进制字符串
binStr = reshape(dec2bin(huffCodes)',1, []);
% 将二进制字符串转换为字符数组
charArr = char(binStr);
% 将字符数组转换为数值数组
numArr = str2num(charArr(:));
% 将数值数组转换为灰度图像
decodedA = reshape(numArr, size(grayA));
% 显示原始图像和解码后的图像
figure;
subplot(1, 2, 1);
imshow(grayA);
title('Original Image');
subplot(1, 2, 2);
imshow(decodedA, []);
title('Decoded Image');
% 输出Huffman编码的二叉树表
disp('Huffman Tree:');
disp(dict);
% 输出Huffman编码的结果表格
disp('Huffman Encoding Table:');
table(grayLevels, counts, p, hcode, 'VariableNames', {'GrayLevels', 'Counts', 'Probability', 'HuffmanCode'})
```
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