Publications

Thomas Richter, und Sven Simon. Towards high-speed, low-complexity image coding: Variants and modification of JPEG 2000. In Andrew G. Tescher (Hrsg.), Applications of Digital Image Processing XXXV, (8499):10, SPIE, Oktober 2012. [PUMA: compression image myown] URL

Thomas Richter, und Sven Simon. On the JPEG 2000 Ultrafast Mode. 2012 IEEE International Conference on Image Processing ICIP 2012, 2501 - 2504, IEEE, Lake Buena Vista, Florida, USA, September 2012. [PUMA: compression image jpeg2000 myown] URL

Sven Grottke, Sabina Jeschke, und Thomas Richter. An Integrated Course on Wavelet-Based Image Compression - Learning Abstract Information Theory on Visual Data. CISSE 2007, Dezember 2007. [PUMA: compression image learning myown]

Thomas Richter. A Global Image Fidelity Metric: Visual Distance and its Properties. IEEE International Conference on Image Processing ICIP 2013, 369 - 373, IEEE, Melbourne, Victoria, Australia, September 2013. [PUMA: compression image myown quality] URL

Thomas Richter, Sven Grottke, und Ruedi Seiler. Faster JPEG2000 Encoding With Apriori Rate Allocation. International MultiConference of Engineers and Computer Scientists 2007, HongKong, April 2007. [PUMA: compression image jpeg2000 myown]

Thomas Richter. On the mDCT-PSNR Image Quality Index. QoMEX 2009, First International Workshop on Quality of Multimedia Experience, 53-58, San Diego, CA, USA, Juli 2009. [PUMA: compression image myown quality] URL

Thomas Richter. Evaluation of Floating Point Image Compression. QoMEX 2009, First International Workshop on Quality of Multimedia Experience, 222-227, San Diego, CA, USA, Juli 2009. [PUMA: compression image jpeg jpeg2000] URL

T. Richter, und S. Simon. Comparison of CPU and GPU Based Coding on Low-Complexity Algorithms for Display Signals. In Andrew G. Tescher (Hrsg.), Applications of Digital Image Processing XXXVI, (8856):14 pages, SPIE, Oktober 2013. [PUMA: compression cpu gpu image low-complexity myown] URL

Sven Grottke, und Thomas Richter. Learning Abstract Information Theory on Visual Data: An Integrated Course on Wavelet-Based Image Compression. 2007 ASEE annual conference, Honolulu, Hawaii, Juni 2007. [PUMA: compression design image learing myown wavelet]

Thomas Richter. Rate Allocation in a Two Quantizer Coding System. Data Compression Conference (DCC), 2014, 83 - 92, IEEE, Snowbird, UT, März 2014. [PUMA: compression image jpeg jpeg-xt myown] URL

Thomas Richter. High Throughput Coding of Video Signals. Data Compression Conference (DCC), 517, IEEE, Snowbird, UT, März 2013. [PUMA: compression image] URL

Thomas Richter, und Kil Joong Kim. A MS-SSIM Optimal JPEG 2000 Encoder. Data Compression Conference, 401-410, Snowbird, UT, USA, März 2009. [PUMA: compression image myown ssim] URL

Yurij Gera, Zhe Wang, Sven Simon, und Thomas Richter. Fast and Context-free Lossless Image Compression Algorithm based on JPEG-LS. In James A. Storer Michael W. Marcellin (Hrsg.), Data Compression Conference (DCC), 2012, IEEE, Snowbird, Utah, USA, April 2012. [PUMA: JPEG-LS compression image] URL

Thomas Richter. Backwards Compatible Coding of High Dynamic Range Images with JPEG. Data Compression Conference (DCC), 2013, 153-160, IEEE, Snowbird, UT, März 2013. [PUMA: JPEG compression image] URL

Sven Grottke, Thomas Richter, und Ruedi Seiler. Apriori Rate Allocation in Wavelet-Based Image Compression. Chinacom 2006, Beijing, China, Oktober 2006. [PUMA: allocation compression image rate] URL

Thomas Richter. SSIM as Global Quality Metric: A Differential Geometry View. Third International Workshop on Quality of Multimedia Expierence (QoMEX 2011), 189 - 194, IEEE, Mechelen, September 2011. [PUMA: compression image ssim] URL

T Richter, und S. Simon. Coding Strategies and Performance Analysis of GPU Accelerated Image Compression. Picture Coding Symposium (PCS), 2013, 125-128, IEEE, San Jose, CA, Dezember 2013. [PUMA: GPU compression image myown] URL

Thomas Richter. Effective Visual Masking Techniques in JPEG2000. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, 2876-2879, San Diego, CA, Oktober 2008. [PUMA: 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] URL

Thomas Richter. Compressing JPEG 2000 JPIP Cache State Information. In James A. Storer Michael W. Marcellin (Hrsg.), Data Compression Conference (DCC), 2012, 13-21, IEEE, Snowbird, Utah, USA, April 2012. [PUMA: (mathematics);JPEG 2000 2000;JPIP;Zero-Tree Coding JPIP adjustment algorithm;Context;Data browsing cache coding;Image coding;JPEG coding;protocols;trees compression compression;JPIP compression;image data data;interactive databases;modified image information model model;embedded models;Encoding;Image protocol;medical request requests;JPIP resolution;Servers;Transform scheme;http server;cache state syntax;image type zero-tree] URL

Thomas Richter. Perceptual Image Coding by Standard-Constraint Codecs. Picture Coding Symposium, 2009. PCS 2009, 1-4, Chicago, IL, USA, Mai 2009. [PUMA: 2000;JPEG-XR;codestreams;digital codec;standard-constraint codecs;Code codecs;data coding coding;JPEG coding;Pipelines;Pixel;Standardization;Transform coding;perceptual compression compression;image image images;perceivable loss;perceptual quality standards;Codecs;Decoding;Humans;ISO standards;Image] URL

Thomas Richter. Compressing JPEG 2000 JPIP Cache State Information. In James A. Storer Michael W. Marcellin (Hrsg.), Data Compression Conference (DCC), 2012, 13-21, IEEE, Snowbird, Utah, USA, April 2012. [PUMA: (mathematics);JPEG 2000 2000;JPIP;Zero-Tree Coding JPIP adjustment algorithm;Context;Data browsing cache coding;Image coding;JPEG coding;protocols;trees compression compression;JPIP compression;image data data;interactive databases;modified image information model model;embedded models;Encoding;Image protocol;medical request requests;JPIP resolution;Servers;Transform scheme;http server;cache state syntax;image type zero-tree] URL

Thomas Richter. Perceptual Image Coding by Standard-Constraint Codecs. Picture Coding Symposium, 2009. PCS 2009, 1-4, Chicago, IL, USA, Mai 2009. [PUMA: 2000;JPEG-XR;codestreams;digital codec;standard-constraint codecs;Code codecs;data coding coding;JPEG coding;Pipelines;Pixel;Standardization;Transform coding;perceptual compression compression;image image images;perceivable loss;perceptual quality standards;Codecs;Decoding;Humans;ISO standards;Image] URL

Thomas Richter. Effective Visual Masking Techniques in JPEG2000. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, 2876-2879, San Diego, CA, Oktober 2008. [PUMA: 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] URL