Implementation of Hybrid Algorithm for Image Compression and Decompression
Journal: International Journal of Engineering Research (IJER) (Vol.5, No. 5)Publication Date: 2016-05-01
Authors : Humerah Naaz; Shubhangi Rathkanthiwar; Sandeep Kakde;
Page : 398-403
Keywords : Lossless Image Compression; Lossless; Lossy; Redundancy; Irrelevancy; Huffman Algorithm; Lempel-Ziv-Welch; Simple Compression Technique; Compression ratio; Compression time; Compression factor; Saving percentage.;
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.
Other Latest Articles
- An Investigation On The Existing Barriers And Possible Measures For The Implementation Of Automation Technology In Indian Construction Industry
- Case Studies of Existing Hazards in Petrol Stations in Chennai City and Recommendation for Remedial Measures
- Controlling Access Privilege and User Revocation of Fully Anonymous Cloud Data
- Detailed Study on Heavy Equipment with Its Latest Technologies and Recommendations for Its Usage for Different Metro Projects
- Lean, Green and DMADV Tool Based Approach for an Effective Execution of Residential Building Project
Last modified: 2016-08-08 18:18:58