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
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: (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
Perceptual Image Coding by Standard-Constraint Codecs. Picture Coding Symposium, 2009. PCS 2009, 1-4, Chicago, IL, USA, May 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
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
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, tik] URL
Effective Visual Masking Techniques in JPEG2000. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, 2876-2879, San Diego, CA, October 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
A Comparison of Three Image Fidelity Metrics of Different Computational Principles for JPEG2000 Compressed Abdomen CT Images. Medical Imaging, IEEE Transactions on, (29)8:1496-1503, August 2010. [PUMA: Abdominal;Reproducibility Compression;Humans;Image Computed Computer-Assisted;Observation;ROC Curve;Data Curve;Radiography, Nonparametric;Tomography, Processing, Results;Statistics, Under X-Ray analysis;CT;HDR-VDP;JPEG2000 biological coding;Computed coding;Medical coding;medical coefficients;abdomen;computed compression;MS-SSIM;PSNR;Spearman compression;diagnostic compression;image correlation diagnostic difference fidelity image imaging;Computed imaging;PSNR;Radiology;Transform metric;Adult;Area metrics;multiscale of organs;computerised predictor;image processing;sensitivity radiography;image range rank ratio;Abdomen;Biomedical science;Hospitals;Image signal-to-noise similarity;peak structural tomography;Computer tomography;JPEG2000;image tomography;data tomography;high-dynamic visual] URL
Fast lossless image compression with 2D Golomb parameter adaptation based on JPEG-LS. Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European, 1920-1924, August 2012. [PUMA: Golomb XR;JPEG-LS;computational adaptation;FLIC algorithm;Golomb coder;Golomb coding;2D coding;JPEG-LS;Lossless coding;Memory coding;low coding;parallelization complexity complexity;data complexity;fast compression;adaptive compression;gradient-based compression;image computational context edge image lossless management;Throughput;Transform model;median modeling;Encoding;Image parameter parameter;JPEG predictor;memory requirements;Context;Context space] URL