PUMA publications for /user/thomasrichter/algorithm;statisticalhttps://puma.ub.uni-stuttgart.de/user/thomasrichter/algorithm;statisticalPUMA RSS feed for /user/thomasrichter/algorithm;statistical2024-03-28T23:32:26+01:00Effective Visual Masking Techniques in JPEG2000https://puma.ub.uni-stuttgart.de/bibtex/272ef1f05d3b9b7e3ad85ee82e2e25da2/thomasrichterthomasrichter2016-03-10T09:18:49+01:00Gaussian;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 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Richter" itemprop="url" href="/person/1c6b4d7259fb109715502cb1b7974b2fe/author/0"><span itemprop="name">T. Richter</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on</span>, </em></span><em>page <span itemprop="pagination">2876-2879</span>. </em><em>San Diego, CA, </em>(<em><span>October 2008<meta content="October 2008" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016San Diego, CAImage Processing, 2008. ICIP 2008. 15th IEEE International Conference onoct2876-2879{E}ffective {V}isual {M}asking {T}echniques in {JPEG}20002008Gaussian;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 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.