A Modification to the Huffman Coding of JPEG's Baseline Compression Algorithm
DCC '00 Proceedings of the Conference on Data Compression
A New Unified Lossless/Lossy Image Compression Based on a New Integer DCT
IEICE - Transactions on Information and Systems
Image compression and decompression using adaptive interpolation
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Statistical modeling of huffman tables coding
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Integer wavelet transform for embedded lossy to lossless image compression
IEEE Transactions on Image Processing
Optimal Huffman coding of DCT blocks
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we propose a method of compression which is both lossy and lossless. The decision regarding what amount of image will be compressed in lossy manner, and what in lossless, depends on the information obtained by the histogram of the image. Another important decision parameter is bit rate of the image. Together these two parameters enable us to divide the image in two parts for different types of compression. The results show that the difference between original and decompressed images is visually negligible. The PSNR and SSIM are comparable to JPEG. . . .