This is what run-length encoding requires. Correspondingly, delta encoding followed by Huffman and/or run-length encoding is a common strategy for compressing signals. LZW compression is named after ...

Lossless compression is used for applications where the original data must be fully restored following decompression. Examples of applications requiring lossless compression include network data, ...

A lossless compression algorithm based on the LZW with compression ratios of 50 ? 60%, using 2K of RAM and 80% or more with 8K or 16K.

In a world with finite storage and an infinite need for more storage space, data compression becomes a very necessary problem. Several algorithms for data compression may be more familiar – Huffman ...

Compressing digital panoramic images can affect their diagnostic quality and the ability to evaluate certain anatomical structures, according to a study in Clinical Oral Investigations (July 6, 2011).

Compression is the science of making data representations smaller, in order to decrease the data's bandwidth and storage requirements. Compression applications are everywhere: in computers (WinZip and ...