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Authors
Affiliations
1 Y C College of Engineering, Nagpur, IN
Source
International Journal of Engineering Research, Vol 5, No 5 (2016), Pagination: 398-403
Abstract
The paper addresses the area of image compression and decompression using hybrid algorithm as it is pertinent to different grounds of image processing. On the basis of evaluating and analyzing different image compression techniques this paper presents the hybrid technique applied to different sets of images for compression and decompression. It also includes various benefits such as minimizing the size in bytes of a graphics file without degrading the quality of the image to an undesirable level. This devaluation allows more images to be stored in a given amount of memory space. Image compression involves the identification and removal of redundant and unnecessary elements of source image. A software algorithm has been refined and implemented to compress and decompress the given image using hybrid techniques in MATLAB software.
Keywords
Lossless Image Compression, Lossless, Lossy, Redundancy, Irrelevancy, Huffman Algorithm, Lempel-Ziv-Welch, Simple Compression Technique, Compression Ratio, Compression Time, Compression Factor, Saving Percentage.
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