A Comparative Study of Lossless Compression Techniques
As we are dealing with more and more digital data, several compression techniques are developed for increasing
need to store more data in lesser memory. Compressing can save storage capacity, speed file transfer, and decrease costs for
storage hardware and network bandwidth. This paper intends to provide the performance analysis of lossless compression
techniques with respect to various parameters like compression ratio, compression factor, saving percentage, compression
and de-compression timeetc. It provides the relevant data about variations in parameters as well as describes the possible
causes for it. The simulation results of image compression are achieved in MATLAB R2009a. The paper focuseson thedecompression
time and the reasons for differences in comparison.
Keywords- Run length Coding (RLE), Huffman, Arithmetic, Lempel-ziv-welch (LZW), Compression Ratio.