PUMA publications for /user/thomasrichter/jpeg2000https://puma.ub.uni-stuttgart.de/user/thomasrichter/jpeg2000PUMA RSS feed for /user/thomasrichter/jpeg20002024-03-29T03:12:59+01:00Interoperability in JPIP and its Standardization in JPEG 2000 Part 9https://puma.ub.uni-stuttgart.de/bibtex/28abb77c661e19fe6c43d5512881d5af9/thomasrichterthomasrichter2016-03-10T09:18:49+01:00JPEG2000 JPIP myown <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/178f8f95b2b9d8d6f115fca4780dc0ca4/author/0"><span itemprop="name">T. Richter</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernard Brower" itemprop="url" href="/person/178f8f95b2b9d8d6f115fca4780dc0ca4/author/1"><span itemprop="name">B. Brower</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stephen Martucci" itemprop="url" href="/person/178f8f95b2b9d8d6f115fca4780dc0ca4/author/2"><span itemprop="name">S. Martucci</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexis Tzannes" itemprop="url" href="/person/178f8f95b2b9d8d6f115fca4780dc0ca4/author/3"><span itemprop="name">A. Tzannes</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">SPIE Applications of Digital Image Processing XXXII</span>, </em></span><em> 7443, </em><em>SPIE, </em>(<em><span>September 2009<meta content="September 2009" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016SPIE Applications of Digital Image Processing XXXIIsep{I}nteroperability in {JPIP} and its {S}tandardization in {JPEG} 2000 {P}art 974432009JPEG2000 JPIP myown The ISO standard JPEG 2000 Part 9 (15444-9) specifies a versatile and flexible image browsing and delivering protocol that allows the interactive selection of regions of large images and their transmission over a narrow bandwidth connection. However, due to the enormous flexibility, achieving interoperability between software from differing vendors is not an easy task. To address this challenge, the JPEG committee started an initiative in the form of an amendment to 15444-9 to establish common grounds on which interoperability can be defined. The outcome of this work are recommendations which subsets of JPIP vendors should focus on, hopefully easing the adoption of JPIP by identifying the options the committee found in widespread use. In this paper, the design and evolution of JPIP interoperability will be discussed, the grounds on which interoperability can be achieved- variants and profiles- will be introduced, and their design will be motivated. The paper closes with an outlook how to extend this amendment for future applications.On the JPEG 2000 Ultrafast Modehttps://puma.ub.uni-stuttgart.de/bibtex/2ec37260016b88bb9bbdb240dc718f710/thomasrichterthomasrichter2016-03-10T09:18:49+01:00compression image jpeg2000 myown <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/16c17f6fd2d1971ae64bfcbdbf7519e0b/author/0"><span itemprop="name">T. Richter</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sven Simon" itemprop="url" href="/person/16c17f6fd2d1971ae64bfcbdbf7519e0b/author/1"><span itemprop="name">S. Simon</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">2012 IEEE International Conference on Image Processing ICIP 2012</span>, </em></span><em>page <span itemprop="pagination">2501 - 2504</span>. </em><em>Lake Buena Vista, Florida, USA, </em><em>IEEE, </em><em><span itemprop="publisher">IEEE</span>, </em>(<em><span>September 2012<meta content="September 2012" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016Lake Buena Vista, Florida, USA2012 IEEE International Conference on Image Processing ICIP 2012sep2501 - 2504{O}n the {JPEG} 2000 {U}ltrafast {M}ode2012compression image jpeg2000 myown Recently, the JPEG committee discussed the introduction of an {``}ultrafast{''} mode for JPEG 2000 encoding. This considered extension of the JPEG 2000 framework replaces the EBCOT coding by a combined Huffman-Runlength code, and adds an optional additional prediction step after quantization. While the resulting codec is not compatible with existing JPEG 2000, it still allows lossless transcoding from JPEG 2000 and back, and performance measurements show that it offers nearly the quality of JPEG 2000 and similar quality than JPEG XR at a much lower complexity comparable to the complexity of the IJG JPEG software. This work introduces the extension, and compares its performance with other JPEG standards and other extensions of JPEG 2000 currently under standardization.Faster JPEG2000 Encoding With Apriori Rate Allocationhttps://puma.ub.uni-stuttgart.de/bibtex/26d19f20cc1e4c513119e11261962f53d/thomasrichterthomasrichter2016-03-10T09:18:49+01:00compression image jpeg2000 myown <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/193ec1456c98c06c485225e11a908fbf0/author/0"><span itemprop="name">T. Richter</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sven Grottke" itemprop="url" href="/person/193ec1456c98c06c485225e11a908fbf0/author/1"><span itemprop="name">S. Grottke</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ruedi Seiler" itemprop="url" href="/person/193ec1456c98c06c485225e11a908fbf0/author/2"><span itemprop="name">R. Seiler</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">International MultiConference of Engineers and Computer Scientists 2007</span>, </em></span><em>HongKong, </em>(<em><span>April 2007<meta content="April 2007" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016HongKongInternational MultiConference of Engineers and Computer Scientists 2007apr{F}aster {JPEG}2000 {E}ncoding {W}ith {A}priori {R}ate {A}llocation2007compression image jpeg2000 myown Evaluation of Floating Point Image Compressionhttps://puma.ub.uni-stuttgart.de/bibtex/2b9fb5203ee6289d01c9bf141d58f0112/thomasrichterthomasrichter2016-03-10T09:18:49+01:00compression image jpeg 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/102bc578b7deb2a49f6f5378afdca1dad/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">QoMEX 2009, First International Workshop on Quality of Multimedia Experience</span>, </em></span><em>page <span itemprop="pagination">222-227</span>. </em><em>San Diego, CA, USA, </em><em>IEEE, </em>(<em><span>July 2009<meta content="July 2009" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016San Diego, CA, USAQoMEX 2009, First International Workshop on Quality of Multimedia Experiencejul222-227{E}valuation of {F}loating {P}oint {I}mage {C}ompression2009compression image jpeg jpeg2000 Recently, compression of High Dynamic Range (HDR) photography gained
attention in the standardization of the Microsoft HDPhoto compression scheme
as JPEG-XR. While integer data of 16 bits/pixel (bpp) in scRGB color-space
can represent images up to a dynamic range of about 3.5 magnitudes in
luminance --- a noteworthy improvement over the 1.6 magnitudes possible in
sRGB --- even higher ranges are more efficiently represented by
floating-point number formats. However, traditional means to evaluate image
quality are rarely suitable for such data: They are often only calibrated to
low-dynamic ranges (LDR) of 8bpp, and are not designed to take the
peculiarities of floating-point data into account. In this work, we present
two approaches to deal with this problem by introducing a (mathematical)
quality index more suitable to floating point data related to
SSIM~\cite{ssim,mssim}, and by presenting an independent image quality
evaluation framework that is able to apply LDR metrics to HDR data. The
presented ideas are then tested on the HDPhoto floating point compression,
on a proprietary backwards compatible extension of JPEG~\cite{JPEGHDR} and
on a proposed floating point compression scheme based on JPEG 2000~\cite{j2k}
that is also proven to be optimal in the proposed quality index. It is then
shown that both approaches, the proposed metric and PSNR in the LDR domain,
deliver comparable results.Rate Allocation as Quality Index Performance Testhttps://puma.ub.uni-stuttgart.de/bibtex/224c86381234c11a7d7048eeca2e3b61f/thomasrichterthomasrichter2016-03-10T09:18:49+01:00Contrast Image JPEG2000 quality, sensitivity, <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/1fc25f49b1e88e062a930ddc3565c8681/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">Applications of Digital Image Processing XXXIII</span>, </em></span><em> 7798, </em><em>San Diego, CA, </em><em>SPIE, </em><em><span itemprop="publisher">SPIE</span>, </em>(<em><span>September 2010<meta content="September 2010" itemprop="datePublished"/></span></em>)</span>Thu Mar 10 09:18:49 CET 2016San Diego, CAApplications of Digital Image Processing XXXIIIsep{R}ate {A}llocation as {Q}uality {I}ndex {P}erformance {T}est77982010Contrast Image JPEG2000 quality, sensitivity, In a recent work, the author proposed to study the performance of still image quality indices such as the SSIM by using it as objective function of a rate allocation algorithm. The outcome of that work was not only a multi-scale SSIM optimal JPEG 2000 implementation, but also a first-order approximation of the MS-SSIM that is surprisingly similar to more traditional contrast-sensitivity and visual masking based approaches. It will be seen in this work that the only difference between the latter works and the MS-SSIM index is the choice of the exponent of the masking term, and furthermore, that a slight modification of the SSIM definition that reproduces more traditional exponents is able to improve the correlation with subjective tests and also improves the performance of the SSIM optimized JPEG 2000 code. That is, understanding the duality of quality indices and rate allocation helps to improve both the visual performance and the performance of the index.