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Huffman Based LZW Lossless Image Compression Using Retinex Algorithm
DALVIR KAUR, KAMALJIT KAUR Master of Technology in Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India Assistant Professor, Department Of Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India
Abstract: Image compression is an application of data compression that encodes the original image with few bits. The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. So image compression can reduce the transmit time over the network and increase the speed of transmission. In Lossless image compression no data loss when the compression Technique is done. In this research, a new lossless compression scheme is presented and named as Huffman Based LZW Lossless Image Compression using Retinex Algorithm which consists of three stages: In the first stage, a Huffman coding is used to compress the image. In the second stage all Huffman code words are concatenated together and then compressed with LZW coding and decoding. In the third stage the Retinex algorithm are used on compressed image for enhance the contrast of image and improve the quality of image. This Proposed Technique is used to increase the compression ratio (CR), Peak signal of Noise Ratio (PSNR), and Mean Square Error (MSE) in the MATLAB Software.
[1] DALVIR KAUR, KAMALJIT KAUR Master of Technology in Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India Assistant Professor, Department Of Computer Science & Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India, βHuffman Based LZW Lossless Image Compression Using Retinex Algorithm,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
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