Literature DB >> 18262969

The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS.

M J Weinberger1, G Seroussi, G Sapiro.   

Abstract

LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a "low complexity projection" of the universal context modeling paradigm, matching its modeling unit to a simple coding unit. By combining simplicity with the compression potential of context models, the algorithm "enjoys the best of both worlds." It is based on a simple fixed context model, which approaches the capability of the more complex universal techniques for capturing high-order dependencies. The model is tuned for efficient performance in conjunction with an extended family of Golomb-type codes, which are adaptively chosen, and an embedded alphabet extension for coding of low-entropy image regions. LOCO-I attains compression ratios similar or superior to those obtained with state-of-the-art schemes based on arithmetic coding. Moreover, it is within a few percentage points of the best available compression ratios, at a much lower complexity level. We discuss the principles underlying the design of LOCO-I, and its standardization into JPEC-LS.

Year:  2000        PMID: 18262969     DOI: 10.1109/83.855427

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  15 in total

1.  Lossless medical image compression using geometry-adaptive partitioning and least square-based prediction.

Authors:  Xiaoying Song; Qijun Huang; Sheng Chang; Jin He; Hao Wang
Journal:  Med Biol Eng Comput       Date:  2017-11-06       Impact factor: 2.602

2.  A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment.

Authors:  Urvashi Sharma; Meenakshi Sood; Emjee Puthooran
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

Review 3.  A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images.

Authors:  Amal Altamimi; Belgacem Ben Youssef
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

4.  Design of a lossless image compression system for video capsule endoscopy and its performance in in-vivo trials.

Authors:  Tareq H Khan; Khan A Wahid
Journal:  Sensors (Basel)       Date:  2014-11-04       Impact factor: 3.576

5.  Skipping Selected Steps of DWT Computation in Lossless JPEG 2000 for Improved Bitrates.

Authors:  Roman Starosolski
Journal:  PLoS One       Date:  2016-12-22       Impact factor: 3.240

6.  Employing New Hybrid Adaptive Wavelet-Based Transform and Histogram Packing to Improve JP3D Compression of Volumetric Medical Images.

Authors:  Roman Starosolski
Journal:  Entropy (Basel)       Date:  2020-12-07       Impact factor: 2.524

7.  Extended Multi WLS Method for Lossless Image Coding.

Authors:  Grzegorz Ulacha; Ryszard Stasiński; Cezary Wernik
Journal:  Entropy (Basel)       Date:  2020-08-22       Impact factor: 2.524

8.  Hybrid Adaptive Lossless Image Compression Based on Discrete Wavelet Transform.

Authors:  Roman Starosolski
Journal:  Entropy (Basel)       Date:  2020-07-09       Impact factor: 2.524

9.  A lossless compression method for multi-component medical images based on big data mining.

Authors:  Gangtao Xin; Pingyi Fan
Journal:  Sci Rep       Date:  2021-06-11       Impact factor: 4.379

10.  An Efficient Middle Layer Platform for Medical Imaging Archives.

Authors:  Atilla Ergüzen; Erdal Erdal
Journal:  J Healthc Eng       Date:  2018-06-21       Impact factor: 2.682

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.