# Is Entropy Coding in Wavelet equivalent to Huffman Coding in DCT

How exactly we should describe the process of Entropy Coding in wavelets ? can't it be simply called Coding ?

Here is the block Diagram of Image compression using wavelet, I am confused about the "Entropy Coding" part. Can i simply use Huffman coding to code bits ?

The goal of entropy coding is to code your data such that the length of the code associated with a symbol is close to $-\log_2 p$, where $p$ is the probability of the symbol (Shannon's limit). This can be achieved through different techniques: Huffman coding is one of them, but arithmetic coding is another option - or if the distribution of the coefficients can be known in advance, a pre-computed code can be specified. The choice of an entropy coding method is motivated by performance/complexity trade-offs, and by the known (or unknown) distribution of the coefficients. If two transforms generate the same distribution of coefficients, the same entropy coding methods can be used for both.