https://puma.ub.uni-stuttgart.de/tag/Quantization,%20vector%20coding,%20variable%20quantisationPUMA RSS feed for /tag/Quantization,%20vector%20coding,%20variable%20quantisation2026-04-14T16:35:30+02:00https://puma.ub.uni-stuttgart.de/bibtex/20ed9cbeb964eafd1c03a7a15e7023033/thomasrichterthomasrichter2016-03-10T09:18:49+01:00Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector <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/1f8ff101d1065b16a8b19dce9bdb0c1b3/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">Data Compression Conference (DCC), 2010</span>, </em></span><em>Seite <span itemprop="pagination">79-88</span>. </em><em>Snowbird, UT, </em><em>IEEE, </em>(<em><span>März 2010<meta content="März 2010" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016Snowbird, UTData Compression Conference (DCC), 2010mar79-88{S}patial {C}onstant {Q}uantization in {JPEG} {XR} is {N}early {O}ptimal2010Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector The JPEG XR image compression standard, originally developed under the name HD-Photo by Microsoft, offers the feature of spatial variably quantization; its codestream syntax allows to select one out of a limited set of possible quantizers per macro block and per frequency band. In this paper, an algorithm is presented that finds the rate-distortion optimal set of quantizers, and the optimal quantizer choice for each macro block. Even though it seems plausible that this feature may provide a huge improvement for images whose statistics is non-stationary, e.g. compound images, it is demonstrated that the PSNR improvement is not larger than 0.3dB for a two-step heuristics of feasible complexity, but improvements of up to 0.8dB for compound images are possible by a much more complex optimization strategy.https://puma.ub.uni-stuttgart.de/bibtex/20ed9cbeb964eafd1c03a7a15e7023033/rainerreichelrainerreichel2016-03-03T17:45:04+01:00Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector <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/1f8ff101d1065b16a8b19dce9bdb0c1b3/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">Data Compression Conference (DCC), 2010</span>, </em></span><em>Seite <span itemprop="pagination">79-88</span>. </em><em>Snowbird, UT, </em><em>IEEE, </em>(<em><span>März 2010<meta content="März 2010" itemprop="datePublished"/></span></em>)</span>Thu Mar 03 17:45:04 CET 2016Snowbird, UTData Compression Conference (DCC), 2010mar79-88{S}patial {C}onstant {Q}uantization in {JPEG} {XR} is {N}early {O}ptimal2010Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector The JPEG XR image compression standard, originally developed under the name HD-Photo by Microsoft, offers the feature of spatial variably quantization; its codestream syntax allows to select one out of a limited set of possible quantizers per macro block and per frequency band. In this paper, an algorithm is presented that finds the rate-distortion optimal set of quantizers, and the optimal quantizer choice for each macro block. Even though it seems plausible that this feature may provide a huge improvement for images whose statistics is non-stationary, e.g. compound images, it is demonstrated that the PSNR improvement is not larger than 0.3dB for a two-step heuristics of feasible complexity, but improvements of up to 0.8dB for compound images are possible by a much more complex optimization strategy.