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.

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 ...

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.

Several algorithms for data compression may be more familiar – Huffman coding, LZW compression – and some a bit more arcane.

Huffman coding would be the easiest thing to implement this way, but it also won't exploit a lot of your compressibility. Just build up a frequency table from characteristic data and use that to ...

One student’s desire to get out of a final exam led to the ubiquitous algorithm that shrinks data without sacrificing information.