T. Richter. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, page 2876-2879. San Diego, CA, (October 2008)
DOI: 10.1109/ICIP.2008.4712395
Abstract
This paper introduces a very low complexity visual masking algorithm for the
JPEG2000 image compression standard and evaluates its impact on the visual
image quality by means of the Multi-scale SSIM index. The algorithm derives
suitable weighting masks indirectly from a statistical model of the wavelet
data which is defined from the second moment and the average absolute amplitude of
the data. If combined with an a priori rate allocation algorithm, the
computation of the visual masking weights has almost no overhead at all.
%0 Conference Paper
%1 Richter2008
%A Richter, Thomas
%B Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
%C San Diego, CA
%D 2008
%K Gaussian;JPEG2000;Visual Masking SSIM algorithm;multi-scale algorithm;statistical algorithm;wavelet allocation coding;Image coding;Visual coding;wavelet complexity compression compression;image data data;weighting error image index;rate masking masks;Codecs;Frequency;Humans;Image methods;Rate-distortion;Transform model;visual quality;Image quality;visual reconstruction;Mean square standard;low system;Generalized transforms;JPEG2000
%P 2876-2879
%R 10.1109/ICIP.2008.4712395
%T Effective Visual Masking Techniques in JPEG2000
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4712395
%X This paper introduces a very low complexity visual masking algorithm for the
JPEG2000 image compression standard and evaluates its impact on the visual
image quality by means of the Multi-scale SSIM index. The algorithm derives
suitable weighting masks indirectly from a statistical model of the wavelet
data which is defined from the second moment and the average absolute amplitude of
the data. If combined with an a priori rate allocation algorithm, the
computation of the visual masking weights has almost no overhead at all.
@inproceedings{Richter2008,
abstract = {This paper introduces a very low complexity visual masking algorithm for the
JPEG2000 image compression standard and evaluates its impact on the visual
image quality by means of the Multi-scale SSIM index. The algorithm derives
suitable weighting masks indirectly from a statistical model of the wavelet
data which is defined from the second moment and the average absolute amplitude of
the data. If combined with an a priori rate allocation algorithm, the
computation of the visual masking weights has almost no overhead at all.},
added-at = {2016-03-03T17:45:04.000+0100},
address = {San Diego, CA},
author = {Richter, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/272ef1f05d3b9b7e3ad85ee82e2e25da2/rainerreichel},
booktitle = {Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on},
doi = {10.1109/ICIP.2008.4712395},
interhash = {c6b4d7259fb109715502cb1b7974b2fe},
intrahash = {72ef1f05d3b9b7e3ad85ee82e2e25da2},
issn = {1522-4880},
keywords = {Gaussian;JPEG2000;Visual Masking SSIM algorithm;multi-scale algorithm;statistical algorithm;wavelet allocation coding;Image coding;Visual coding;wavelet complexity compression compression;image data data;weighting error image index;rate masking masks;Codecs;Frequency;Humans;Image methods;Rate-distortion;Transform model;visual quality;Image quality;visual reconstruction;Mean square standard;low system;Generalized transforms;JPEG2000},
month = oct,
pages = {2876-2879},
timestamp = {2016-03-04T09:57:29.000+0100},
title = {{E}ffective {V}isual {M}asking {T}echniques in {JPEG}2000},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4712395},
year = 2008
}
