The Huffman coding allows further reductions in the bit rate. All these approaches are also used in the AAC algorithm. In addition, the algorithm makes use of prediction to reduce the dynamic range of ...

Run-length encoding followed by either Huffman or arithmetic encoding is also a common strategy. As you might expect, these types of algorithms are very complicated, and usually left to data ...

Concurrently, research in data compression has explored dynamic and forward-looking approaches that build on traditional methods such as Huffman coding.

Concurrently, there has been significant progress in leveraging FPGA platforms, where innovative Huffman encoding architectures minimise data processing delays and reduce clock cycle consumption [2].

Like chroma subsampling, this doesn’t offer any compression on its own but allows the subsequent run-length encoding to be more effective, giving more (lossless) compression.

Applying data compression techniques not only reduces the bandwidth but also enhances the strength of the cryptosystem.