Paper Info
Title
Application of reversible denoising and lifting steps with step skipping to color space transforms for improved lossless compression
Abstract
Reversible denoising and lifting steps (RDLS) are lifting steps integrated with denoising filters in such a way that, despite the inherently irreversible nature of denoising, they are perfectly reversible. We investigated the application of RDLS to reversible color space transforms: RCT, YCoCg-R, RDgDb, and LDgEb. In order to improve RDLS effects, we propose a heuristic for image-adaptive denoising filter selection, a fast estimator of the compressed image bitrate, and a special filter that may result in skipping of the steps. We analyzed the properties of the presented methods, paying special attention to their usefulness from a practical standpoint. For a diverse image test-set and lossless JPEG-LS, JPEG 2000, and JPEG XR algorithms, RDLS improves the bitrates of all the examined transforms. The most interesting results were obtained for an estimation-based heuristic filter selection out of a set of seven filters; the cost of this variant was similar to or lower than the transform cost, and it improved the average lossless JPEG 2000 bitrates by 2.65% for RDgDb and by over 1% for other transforms; bitrates of certain images were improved to a significantly greater extent. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
Year
DOI
Venue
2016
10.1117/1.JEI.25.4.043025
JOURNAL OF ELECTRONIC IMAGING
Keywords
Field
DocType
lossless image compression,lifting technique,reversible color space transform,denoising,reversible denoising and lifting step
Noise reduction,Computer vision,Lossless JPEG,Heuristic,Color space,Computer science,Transform theory,JPEG,Artificial intelligence,JPEG 2000,Lossless compression
Journal
Volume
Issue
ISSN
25
4
1017-9909
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Roman Starosolski1397.30