如何使用霍夫曼编码对代码进行编码然后解码量化频道？

Question

我必须实现压缩方案。我使用以下命令量化了图像的3个通道：

yce = blockproc(y, [8 8], @(block_struct) round(round(block_struct.data) ./ q_y));
cbce = blockproc(cb, [8 8], @(block_struct) round(round(block_struct.data) ./ q_c));
crce = blockproc(cr, [8 8], @(block_struct) round(round(block_struct.data) ./ q_c));

现在我想使用霍夫曼编码对上面的每个元素进行编码，然后执行逆操作。这是我的代码：

Z = unique (yce); 

countElY=histc(yce,Z);

p = countElY/numel(yce);

[dict,avglen] = huffmandict(Z,p);

K=unique(cbce);

countelcb=histc(cbce,K);

p1=countelcb/numel(cbce);

[dict1,avglen1]=huffmandict(K,p1);

L=unique(crce);

countelcr=histc(crce,L);

p2=countelcr/numel(crce);

[dict2,avglen2]=huffmandict(L,p2);

comp= huffmanenco(yce,dict);

comp1=huffmanenco(cbce,dict1);

comp2=huffmanenco(crce,dict2);

huffman_code = (cat(3,comp,comp1,comp2));

Im1 = huffmandeco(comp,dict);

im2=huffmandeco(comp1,dict1);

im3=huffmandeco(comp2,dict2);

我收到以下错误：

The probability input must be a vector.

请帮助我这一步吗？提前感谢