Topic
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.
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14 Oct 2004
TL;DR: A wavelet-based lossless data compression scheme for the 3D hyperspectral data which uses in sequence a forward difference scheme, an integer wavelet transform, a Burrows-Wheeler transform and an arithmetic coder to outperform the CALIC and 3D EZW schemes.
Abstract: Hyperspectral sounder data is used for retrieval of useful geophysical parameters which promise better weather prediction. It features two characteristics. First it is huge in size with 2D spatial coverage and high spectral resolution in the infrared region. Second it allows low tolerance of noise and error in retrieving the geophysical parameters where a mathematically ill-posed problem is involved. Therefore compression is better to be lossless or near lossless for data transfer and archive. Meanwhile medical data from X-ray computerized tomography (CT) or magnetic resonance imaging (MRI) techniques also possesses similar characteristics. It provides motivation to apply lossless compression schemes for medical data to the hyperspectral sounder data. In this paper, we explore the use of a wavelet-based lossless data compression scheme for the 3D hyperspectral data which uses in sequence a forward difference scheme, an integer wavelet transform, a Burrows-Wheeler transform and an arithmetic coder. Compared to previous work, our approach is shown to outperform the CALIC and 3D EZW schemes.
20 Mar 2006
TL;DR: In this article, an overview of recent joint work with G. Caire and S. Shamai on the use of linear error correcting codes for lossless data compression, joint source/channel coding and interactive data exchange is presented.
Abstract: This plenary talk gives an overview of recent joint work with G. Caire and S. Shamai on the use of linear error correcting codes for lossless data compression, joint source/channel coding and interactive data exchange.
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TL;DR: In this article, a fixed-length-parsing LZ algorithm with side information is proposed and proved to be asymptotically optimal for any stationary and ergodic processes.
Abstract: This paper presents conditional versions of Lempel-Ziv (LZ) algorithm for settings where compressor and decompressor have access to the same side information. We propose a fixed-length-parsing LZ algorithm with side information, motivated by the Willems algorithm, and prove the optimality for any stationary processes. In addition, we suggest strategies to improve the algorithm which lower the data compression rate. A modification of a variable-length-parsing LZ algorithm with side information is proposed and proved to be asymptotically optimal for any stationary and ergodic processes.
01 Jan 2013
TL;DR: This scheme of WICRIC is developed from the traditional scheme ICRIC and the Wavelet transform and can give high compression ratios for both medical and photometric images, and so it can be installed in medical imaging systems like digital radiology, CT, MRI,....
Abstract: This paper presents the scheme WICRIC (Wavelet based Ideal Cross point Regions for lossless Image Compression) for lossless compression and decompression of digital images. The main idea is to use the Ideal Cross point Regions for lossless Image Compression (ICRIC) scheme together with wavelet transform. The base of this statement is the effect of Gray coding on cross point regions of the transformed matrix of the original image. Before Gray coding data sets of cross points are determined, they are called the ideal cross point regions (ICRs). The wavelet transform makes images more compact, thus increases the number of usable ICRs. After Gray coding these regions always contain only bits 1 or bits 0 depending on the number of each bit plane after the bit plane decomposition. The bit state in ideal cross point regions is very good at entropy coding because the probability of data bits 1/0 is 1 there. This optimization of probability like that has important effects on encoding and decoding processes of lossless image compression for data transmission. This scheme of WICRIC is developed from the traditional scheme ICRIC (Ideal Cross point Regions for lossless Image Compression) and the Wavelet transform, it can give high compression ratios for both medical and photometric images, and so it can be installed in medical imaging systems like digital radiology, CT, MRI,....