Lossless JPEG

About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.

Adaptive lossless video compression

Abstract: In this paper, we describe a new lossless compression algorithm for color video sequences. Our approach is to exploit both spatial and temporal redundancies in the video sequence by developing a new adaptive algorithm. By adaptive selection between spatial and temporal prediction we show that our scheme is better than state-of-the-art lossless compression algorithms.

Lossless compression of color-mapped images

Abstract: In a color-mapped (pseudo-color) image, pixel values repre- sent indices that point to color values in a look-up table. Well-known linear predictive schemes, such as JPEG and CALIC, perform poorly when used with pseudo-color images, while universal compressors, such as Gzip, Pkzip and Compress, yield better compression gain. Recently, Burrows and Wheeler introduced the Block Sorting Lossless Data Com- pression Algorithm (BWA). The BWA algorithm received considerable attention. It achieves compression rates as good as context-based meth- ods, such as PPM, but at execution speeds closer to Ziv-Lempel tech- niques. The BWA algorithm is mainly composed of a block-sorting trans- formation which is known as Burrows-Wheeler Transformation (BWT), followed by Move-To-Front (MTF) coding. We introduce a new block transformation, Linear Order Transformation (LOT). We delineate its re- lationship to Burrows-Wheeler Transformation and show that LOT is faster than BWT transformation. We then show that when MTF coder is employed after the LOT, the compression gain obtained is better than the well-known compression techniques, such as GIF, JPEG, CALIC, Gzip, LZW (Unix Compress) and the BWA for pseudo-color images.

Performance evaluation of image compression techniques

Abstract: The purpose of image compression is to achieve a very squat bit rate representation, while preserving a soaring visual quality of decompressed images. Compression reduces the storage and finds its potency and limitations. Transmission burdens of raw information by reducing the ubiquitous redundancy without losing its entropy significantly. The image manipulation that occupies a significant position in multimedia technology necessitated the development of JPEG compression technique, which has proved its usefulness until recently; to minimize the blocking artifact, inherently present in JPEG at higher compression ratios. In this work, a new approach to JPEG compression technique is proposed that enhanced the compression performances in comparison with aforesaid JPEG techniques. The new technique considers DCT, SVD, and BTC. A rigorous comparison of the various compressions through quality components (PSNR, MSE).