Comparative Study o n Lossless Data Compression Techniques
Journal Title: International Journal of Scientific Research and Management - Year 2017, Vol 5, Issue 8
Abstract
Image compression is a technique which removes the extraneous or unrelated information. For compression and decompression, a number of techniques such as Shannon Fano Technique, Lempel Ziv Welch, Run length Coding technique, Huffman technique etc. have bee n applied. In this paper, the different lossless image compression techniques have been studied. Further, a Comparative study on various techniques has been carried out and found that Embedded Zero tree Wavelet (EZW) and Set Partition in Hierarchical Tran sform (SPIHT) techniques perform better in terms of Compression Ratio (CR), Peak Signal To Noise Ratio (PSNR) and Mean Square Error (MSE)
Authors and Affiliations
Seema .
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