Lossless and Lossy Data Compression
Data compression (or source coding) is the process of creating binary representations of data which require less storage space than the original data [7, 14, 15]. Lossless compression is used where perfect reproduction is required while lossy compression is used where perfect reproduction is not possible or requires too many bits. Achieving optimal compression with respect to resource constraints is a difficult problem. For instance, in lossless compression, it has been shown to be NP-complete . In this paper, we present genetic algorithms for performing lossless and lossy compressions respectively on text data and Gaussian-Markov sources.
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