New Error Model of Entropy Encoding for Image Compression
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Abstract
Entropy coding provides the lossless compression of data symbols and is a critical component in signal compression algorithm. In our case we have designed a new model which reduces the Interpixel redundancy and have better results as compared to other models like lossless predictive code (LPC) and Differential pulse code modulation (DPCM). Our new proposed Scheme for Huffman coding will achieve higher compression as we have also reduce the standard deviation in the error image tremendously as compare to LPC and DPCM.
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Rajesh Kr. Tejwani, Mohit Mishra, Amit Kumar. (2015). New Error Model of Entropy Encoding for Image Compression. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 1(3), 07–11. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1886
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