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Journal ArticleDOI

Lossless compression of continuous-tone images by combined inter-bit-plane decorrelation and JBIG coding

Liang Shen, +1 more
- 01 Apr 1997 - 
- Vol. 6, Iss: 2, pp 198-207
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TLDR
An improvement on the Joint Bi-Level Imaging Group (JBIG) method for continuous-tone image compression is proposed, which indicates the potentially achievable lower bound bit rate, and should be useful in decorrelation analysis as well as in the design as cascaded decorrelators.
Abstract
Lossless compression techniques are essential in some applications, such as archival and communication of medical im- ages. In this paper, an improvement on the Joint Bi-Level Imaging Group (JBIG) method for continuous-tone image compression is proposed. The method is an innovative combination of multiple decorrelation procedures, namely a lossless Joint Photographic Ex- perts Group (JPEG)-based predictor, a transform-based inter-bit- plane decorrelator, and a JBIG-based intra-bit-plane decorrelator. The improved JBIG coding scheme outperformed lossless JPEG coding, JBIG coding, and the best mode of compression with revers- ible embedded wavelets (CREW) coding, on the average bit rate, by 0.56 (8 bits/component images only), 0.14, and 0.12 bits per pixel with the JPEG standard set of 23 continuous-tone test images. The compression technique may be easily incorporated into currently existing JBIG-based products. A high-order entropy estimation algo- rithm is also presented, which indicates the potentially achievable lower bound bit rate, and should be useful in decorrelation analysis as well as in the design as cascaded decorrelators. © 1997 SPIE and IS&T. (S1017-9909(97)00802-7)

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Citations
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Journal ArticleDOI

Methods for image authentication: a survey

TL;DR: A survey and a comparison of emerging techniques for image authentication, that is strict or selective authentication, tamper detection, localization and reconstruction capabilities and robustness against different desired image processing operations are presented.
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An Indexed Atlas of Digital Mammograms for Computer-Aided Diagnosis of Breast Cancer

TL;DR: The design of a comprehensive, indexed atlas of digital mammograms is proposed and the use of mobile software agents for facilitating remote consultation of the atlas include research, remote consultation, teaching, evaluation of computer-aided diagnosis systems, and self-evaluation by radiologists.
Proceedings ArticleDOI

Evaluation of lossless compression methods for gray scale document images

TL;DR: A comparative study of lossless compression algorithms is presented and shows that the highest compression is obtained using the CALIC and JPEG-LS algorithms.
Journal ArticleDOI

Algorithms of halftoning color images with edge enhancement

TL;DR: It is shown that unstable images can be eliminated or reduced through using a proper color difference formula to select the reproduction colors even vector error-diffusion is performed in the RGB domain.
References
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Journal ArticleDOI

The JPEG still picture compression standard

TL;DR: The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications.
Journal ArticleDOI

Image coding using wavelet transform

TL;DR: A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed and it is shown that the wavelet transform is particularly well adapted to progressive transmission.
Journal ArticleDOI

Image coding using vector quantization: a review

TL;DR: First, the concept of vector quantization is introduced, then its application to digital images is explained, and the emphasis is on the usefulness of the vector quantification when it is combined with conventional image coding techniques, orWhen it is used in different domains.
BookDOI

Subband Image Coding

John W. Woods
TL;DR: Performance Bounds for Subband Coding, IIR Analysis/Synthesis Systems, and Medical Image Compression: Possible Applications of Sub band Coding.
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