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Inter-Color Context Classifier for High Performance Lossless Bayer Image Compression

by D.A. Mitchell, H.B. Mitchell
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 14
Year of Publication: 2021
Authors: D.A. Mitchell, H.B. Mitchell
10.5120/ijca2021921451

D.A. Mitchell, H.B. Mitchell . Inter-Color Context Classifier for High Performance Lossless Bayer Image Compression. International Journal of Computer Applications. 183, 14 ( Jul 2021), 1-7. DOI=10.5120/ijca2021921451

@article{ 10.5120/ijca2021921451,
author = { D.A. Mitchell, H.B. Mitchell },
title = { Inter-Color Context Classifier for High Performance Lossless Bayer Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2021 },
volume = { 183 },
number = { 14 },
month = { Jul },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number14/31991-2021921451/ },
doi = { 10.5120/ijca2021921451 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:16:44.903601+05:30
%A D.A. Mitchell
%A H.B. Mitchell
%T Inter-Color Context Classifier for High Performance Lossless Bayer Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 14
%P 1-7
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Switched prediction algorithms are widely used for lossless image compression including Bayer image compression. All switched predictions algorithms have the same structure consisting of two separate functions working in tandem: A local pixel pattern function, or context classifier, and a set of pixel-value prediction functions. For each local context a different prediction function is selected. In this article we describe a new switched prediction algorithm specifically for lossless Bayer image compression. The new algorithm uses generic context classifier which may be used with any set of prediction functions. We show that using the generic context classifier we obtain a substantial improvement in lossless Bayer image compression. The new context classifier is both simple and fast to implement with a low memory requirement.

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Index Terms

Computer Science
Information Sciences

Keywords

Lossless image compression Bayer image compression switched prediction inter-color context JPEG-LS CALIC

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