Limitations of Arithmetic coding?

1. What are the difficulties in arithmetic coding?
2. What are the main limitations of Huffman coding?
3. What are the advantage and disadvantage of arithmetic coding as compared to Huffman coding?
4. Why is arithmetic coding better than Huffman coding?

What are the difficulties in arithmetic coding?

The basic implementation of arithmetic coding described above has two major difficulties: the shrinking current interval requires the use of high precision arithmetic, and no output is produced until the entire file has been read.

What are the main limitations of Huffman coding?

One disadvantage of the Huffman code is that it can only assign integer-length codewords. This usually leads to a suboptimal performance. For example, in Table 2.4, the symbol a₃ was represented with a 3-bit codeword, whereas its information content is only 2.32 bits.

What are the advantage and disadvantage of arithmetic coding as compared to Huffman coding?

In arithmetic coding, a message is encoded as a real number in an interval from one to zero. Arithmetic coding typically has a better compression ratio than Huffman coding, as it produces a single symbol rather than several separate codewords. Arithmetic coding is a lossless coding technique.

Why is arithmetic coding better than Huffman coding?

Arithmetic algorithm yields much more compression ratio than Huffman algorithm while Huffman coding needs less execution time than the arithmetic coding.