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.

Lossless Image Compression based on Predictive Coding and Bit Plane Slicing

Abstract: In this paper, a simple lossless image compression method based on a combination between bit-plane slicing and adaptive predictive coding is adopted for compressing natural and medical images. The idea basically utilized the spatial domain efficiently after discarding the lowest order bits namely, exploiting only the highest order bits in which the most significant bit corresponds to last layer7 used adaptive predictive coding, while the other layers used run length coding. The test results leads to high system performance in which higher compression ratio achieves for lossless system that characterized by guaranty fully reconstruction. General Terms Bit-plane slicing along with adaptive predictive coding for lossless image compression.

Novel precompression rate-distortion optimization algorithm for JPEG 2000

Abstract: In this paper, a novel pre-compression rate-distortion optimization algorithm is proposed, which can reduce computation power and memory requirement of JPEG 2000 encoder. It can reduce the wasted computational power of the entropy coder (EBCOT Tier-1) and unnecessary memory requirement for the code-stream. Distortion and rate of coding passes are calculated and estimated before coding, and therefore truncation point is selected before coding. Experimental results show that the computation time of EBCOT Tier-1 and memory requirement for the code-stream can be greatly reduced,especially at high compression ratio. The quality of the proposed algorithm is slightly lower than that of post-compression rate-distortion optimization algorithm.

Error-resilient video coding performance analysis of motion JPEG2000 and MPEG-4

Abstract: The new Motion JPEG 2000 standard is providing with some compelling features. It is based on an intra-frame wavelet coding, which makes it very well suited for wireless applications. Indeed, the state-of-the-art wavelet coding scheme achieves very high coding efficiency. In addition, Motion JPEG 2000 is very resilient to transmission errors as frames are coded independently (intra coding). Furthermore, it requires low complexity and introduces minimal coding delay. Finally, it supports very efficient scalability. In this paper, we analyze the performance of Motion JPEG 2000 in error-prone transmission. We compare it to the well-known MPEG-4 video coding scheme, in terms of coding efficiency, error resilience and complexity. We present experimental results which show that Motion JPEG 2000 outperforms MPEG-4 in the presence of transmission errors.

Progressive JPEG decoding

Abstract: This invention enables progressively higher resolution images of a JPEG compressed image to be produced in a cost effective manner during the JPEG decompression process. The operation count is very low when images of {fraction (1/64)}th, {fraction (1/16)}th, and ¼th of full resolution are to be produced without doing a full JPEG decompression. The low resolution images are useful for high speed search, and the ability to produce them without doing full decompression is an important factor in making such search practical.

Perceptive quality estimations: JPEG 2000 versus JPEG

Abstract: The upcoming JPEG 2000 image compression standard is expected to replace the well-established JPEG format. It offers a wide range of data compressions, from lossless up to highest rates of lossy compression, in conjunction with a variety of useful new features which will presumably increase its popularity. Confident press reports suggest breakthroughs in image compression prospects. However, in the final analysis the most decisive factor in JPEG 2000's commercial acceptance will be its visual quality attributes. Accordingly, this article presents extensive estimations of the visually perceived image quality of JPEG 2000 compressions in comparison with JPEG. The study focuses exclusively on lossy data compression and its default settings. From the viewpoint of quality assessments commonly used in graphic arts industry, we present different types of interactive quality ratings applied to large data sets for characterizing image distortions at varying compression rates. In addition, the results are compared with PSNR considerations. The objective of this study is to arrive at an estimation of the potential benefits of JPEG 2000 relative to the JPEG standard with respect to compression quality, and in particular with regard to the requirements of the graphic arts industry.