Iterative Data Compression with Calculated Codes-IEEE_1col
Swapan Dey
Abstract
Open-access reader
Swapan Dey
Abstract
Open-access reader
This paper focuses on enhancing the compression ratio of any existing dictionary-based Lempel-Ziv compression methods (LZW compression and its variants like LZMW, LZWL etc.) by introducing a couple of novel features rather than introducing a new data compression technique. The proposed enhancements are intended to provide better compression ratio on the existing techniques, thus enabling more efficient data storage. By providing a comprehensive description of the constraints inherent in the current dictionary-based compression methods, this paper analytically elaborates the intricacies of the proposed features, along with a logical explication of how their implementation will lead to an enhanced compression ratio.
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This paper focuses on enhancing the compression ratio of any existing dictionary-based Lempel-Ziv compression methods (LZW compression and its variants like LZMW, LZWL etc.) by introducing a couple of novel features rather than introducing a new data compression technique. The proposed enhancements are intended to provide better compression ratio on the existing techniques, thus enabling more efficient data storage. By providing a comprehensive description of the constraints inherent in the current dictionary-based compression methods, this paper analytically elaborates the intricacies of the proposed features, along with a logical explication of how their implementation will lead to an enhanced compression ratio.
Key concepts: Compression ratio, Data compression, Computer science, Compression (physics), Lossless compression, Data compression ratio, Algorithm, Explication