Publications

Zhe Wang, D. Chanda, S. Simon, and T. Richter. Memory efficient lossless compression of image sequences with JPEG-LS and temporal prediction. Picture Coding Symposium (PCS), 2012, 305-308, May 2012. [PUMA: coding;image images;temporal efficient data systems;image sequences;lossless encoder;lossy lossless prediction;temporal-extended coding;Image reference modeling;embedded coding compression;image lossy sequences;Memory management;Standards;Transform compression;still requirement;online prediction;Context;Encoding;Image compression;memory 2000;JPEG-LS;context sequences;JPEG frame] URL

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

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

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