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 ...

I'm working on a very large production system which needs to store many, many small segments of similar, text-like data (think alphanumeric with many similar substrings). If we gzip each segment ...

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.

Media multitool taps Vulkan for GPU encoding, adds VVC support, and dusts off some ancient formats FFmpeg 8.0 brings ...

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