Authors: R. Hema
This paper surveys a variety of data compression methods. The aim of data compression is to reduce redundancy in stored or communicated data, thus increasing effective data density. Data compression has important application in the areas of file storage and distributed systems.Concepts of lossless and lossy data compression methods are discussed briefly. A framework for evaluation and comparison of
methods is constructed and applied to the algorithms presented. Comparisons of both lossless and lossy methods are reported. Finally one case study is also discussed.
Keywords: Lossless Compression, Lossy Compression, Huffman Coding, Lempel-Ziv coding, Transform Coding.