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A Robust Image Compression Algorithm using JPEG 2000 Standard with Golomb Rice Coding


Shaik. Mahaboob Basha, B.C. Jinaga


Vol. 10  No. 12  pp. 26-33


Today’s communication is mostly in the form of voice and data. The amount of data and voice that are transferred from one part of the world to another is enormous. To refute the issue of bandwidth from the systems in vogue today, and to help provide acceptable quality of services for voice communications, the problem of image compression and decompression has been dealt in this paper. This paper analyzes JPEG 2000 standard with Golomb Rice Technique for various wavelet transforms like D2, D4, D8, D10, D12, Haar and DMEY for compression and decompression of image signals. Further the various wavelet transforms with Golomb Rice technique were tested on 25 image samples for compression and it was found that the DMEY wavelet based Golomb Rice technique achieves a RMSE of nearly zero and number of samples saved around 49.965 % on an average compared to other wavelet, which shows that DMEY is best suited for image compression.


Wavelet, JPEG 2000, Golomb Rice, Image compression