Spatial Constant Quantization in JPEG XR is Nearly Optimal
T. Richter. Data Compression Conference (DCC), 2010, page 79-88. Snowbird, UT, IEEE, (March 2010)
DOI: 10.1109/DCC.2010.14
Abstract
The JPEG XR image compression standard, originally developed under the name
HD-Photo by Microsoft, offers the feature of spatial variably quantization;
its codestream syntax allows to select one out of a limited set of possible
quantizers per macro block and per frequency band. In this paper, an
algorithm is presented that finds the rate-distortion optimal set of quantizers,
and the optimal quantizer choice for each macro block. Even though it
seems plausible that this feature may provide a huge improvement for images
whose statistics is non-stationary, e.g. compound images, it is demonstrated that
the PSNR improvement is not larger than 0.3dB for a two-step heuristics
of feasible complexity, but improvements of up to 0.8dB for
compound images are possible by a much more complex optimization strategy.
%0 Conference Paper
%1 Richter2010
%A Richter, Thomas
%B Data Compression Conference (DCC), 2010
%C Snowbird, UT
%D 2010
%K Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector
%P 79-88
%R 10.1109/DCC.2010.14
%T Spatial Constant Quantization in JPEG XR is Nearly Optimal
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5453436
%X The JPEG XR image compression standard, originally developed under the name
HD-Photo by Microsoft, offers the feature of spatial variably quantization;
its codestream syntax allows to select one out of a limited set of possible
quantizers per macro block and per frequency band. In this paper, an
algorithm is presented that finds the rate-distortion optimal set of quantizers,
and the optimal quantizer choice for each macro block. Even though it
seems plausible that this feature may provide a huge improvement for images
whose statistics is non-stationary, e.g. compound images, it is demonstrated that
the PSNR improvement is not larger than 0.3dB for a two-step heuristics
of feasible complexity, but improvements of up to 0.8dB for
compound images are possible by a much more complex optimization strategy.
%@ 978-1-4244-6425-8
@inproceedings{Richter2010,
abstract = {The JPEG XR image compression standard, originally developed under the name
HD-Photo by Microsoft, offers the feature of spatial variably quantization;
its codestream syntax allows to select one out of a limited set of possible
quantizers per macro block and per frequency band. In this paper, an
algorithm is presented that finds the rate-distortion optimal set of quantizers,
and the optimal quantizer choice for each macro block. Even though it
seems plausible that this feature may provide a huge improvement for images
whose statistics is non-stationary, e.g. compound images, it is demonstrated that
the PSNR improvement is not larger than 0.3dB for a two-step heuristics
of feasible complexity, but improvements of up to 0.8dB for
compound images are possible by a much more complex optimization strategy.},
added-at = {2016-03-03T17:45:04.000+0100},
address = {Snowbird, UT},
author = {Richter, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20ed9cbeb964eafd1c03a7a15e7023033/rainerreichel},
booktitle = {Data Compression Conference (DCC), 2010},
doi = {10.1109/DCC.2010.14},
interhash = {f8ff101d1065b16a8b19dce9bdb0c1b3},
intrahash = {0ed9cbeb964eafd1c03a7a15e7023033},
isbn = {978-1-4244-6425-8},
issn = {1068-0314},
keywords = {Annealing, Distortion JPEG Quantization, Rate Simulated Theory, Variable XR, coding, compression, data distortion image optimisation, quantisation rate theory, vector},
month = mar,
organization = {IEEE},
pages = {79-88},
timestamp = {2016-03-04T09:57:29.000+0100},
title = {{S}patial {C}onstant {Q}uantization in {JPEG} {XR} is {N}early {O}ptimal},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5453436},
year = 2010
}