Publications

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

Thomas Richter, and 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, and Thomas Richter. An Integrated Course on Wavelet-Based Image Compression - Learning Abstract Information Theory on Visual Data. CISSE 2007, December 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, and 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, July 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, July 2009. [PUMA: compression image jpeg jpeg2000] URL

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

Sven Grottke, and Thomas Richter. Learning Abstract Information Theory on Visual Data: An Integrated Course on Wavelet-Based Image Compression. 2007 ASEE annual conference, Honolulu, Hawaii, June 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, March 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, March 2013. [PUMA: compression image] URL

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

Yurij Gera, Zhe Wang, Sven Simon, and Thomas Richter. Fast and Context-free Lossless Image Compression Algorithm based on JPEG-LS. In James A. Storer Michael W. Marcellin (Eds.), 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, March 2013. [PUMA: JPEG compression image] URL

Sven Grottke, Thomas Richter, and Ruedi Seiler. Apriori Rate Allocation in Wavelet-Based Image Compression. Chinacom 2006, Beijing, China, October 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, and S. Simon. Coding Strategies and Performance Analysis of GPU Accelerated Image Compression. Picture Coding Symposium (PCS), 2013, 125-128, IEEE, San Jose, CA, December 2013. [PUMA: GPU compression image myown] URL

Thomas Richter. On the duality of rate allocation and quality indices. Picture Coding Symposium (PCS), 270-273, Nagoya, Japan, December 2010. [PUMA: approximation coding compression, data image theory,] URL

Thomas Richter. Rate Allocation as Quality Index Performance Test. Applications of Digital Image Processing XXXIII, (7798)SPIE, San Diego, CA, September 2010. [PUMA: Contrast Image JPEG2000 quality, sensitivity,] URL

Thomas Richter. Spatial Constant Quantization in JPEG XR is Nearly Optimal. Data Compression Conference (DCC), 2010, 79-88, Snowbird, UT, March 2010. [PUMA: Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector] URL