A Comparative Study of Some Image Compression Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
A remarkable progress has been made in the field of data compression and its application, digital image compression is associated with removing redundant information of image data. Compression of digital images has a two-fold advantage. It reduces transmission time, bandwidth and requires less amount of storage memory. The comparative study of image compression techniques presented here are Huffman Coding, Predictive Coding, Block Truncation Coding and the Wavelet Transformed based SPIHT technique. The GPU computing technique and two different GPUs are used to speed up the designed algorithms.
Authors and Affiliations
Nitin Ingle
Keywords
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