A spatial domain perceptual image codec based on subsampling and perceptual quantization (SSPQ) guided by the just-noticeable distortion (JND) profile is proposed. SSPQ integrates perceptual image coding and progressive transmission in one framework. The input image is first subsampled by a factor of two in both dimensions and the subsampled image is compressed without loss. The subsampled image provides a basis for both predicting the input pixels by interpolation and estimating the JND values for each pixel. Residual quantization thresholds are set to the estimated JND values for a perceptually tuned compression. Quantized residuals are progressively encoded by a context-based Golomb coder with run-length coding capacity. Experimental results show over 50% improvement in compression performance on average for the proposed SSPQ codec compared to the lossless JPEG-LS.
%0 Conference Paper
%1 richter2013spatial
%A Richter, Th.
%A Wang, Z.
%A Simon, S.
%A Klaiber, M.
%A Ahmed, S.
%B 2012 IEEE International Conference on Image Processing ICIP 2012
%C Lake Buena Vista, Florida, USA
%D 2013
%I IEEE
%K JPEG-LS Perceptual coding, distortion, just-noticeable perceptual quantization,
%P 1061 - 1064
%R 10.1109/ICIP.2012.6467046
%T SSPQ - spatial domain perceptual image codec based on subsampling and perceptual quantization
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6467046
%X A spatial domain perceptual image codec based on subsampling and perceptual quantization (SSPQ) guided by the just-noticeable distortion (JND) profile is proposed. SSPQ integrates perceptual image coding and progressive transmission in one framework. The input image is first subsampled by a factor of two in both dimensions and the subsampled image is compressed without loss. The subsampled image provides a basis for both predicting the input pixels by interpolation and estimating the JND values for each pixel. Residual quantization thresholds are set to the estimated JND values for a perceptually tuned compression. Quantized residuals are progressively encoded by a context-based Golomb coder with run-length coding capacity. Experimental results show over 50% improvement in compression performance on average for the proposed SSPQ codec compared to the lossless JPEG-LS.
%@ 978-1-4673-2534-9
@inproceedings{richter2013spatial,
abstract = {A spatial domain perceptual image codec based on subsampling and perceptual quantization (SSPQ) guided by the just-noticeable distortion (JND) profile is proposed. SSPQ integrates perceptual image coding and progressive transmission in one framework. The input image is first subsampled by a factor of two in both dimensions and the subsampled image is compressed without loss. The subsampled image provides a basis for both predicting the input pixels by interpolation and estimating the JND values for each pixel. Residual quantization thresholds are set to the estimated JND values for a perceptually tuned compression. Quantized residuals are progressively encoded by a context-based Golomb coder with run-length coding capacity. Experimental results show over 50% improvement in compression performance on average for the proposed SSPQ codec compared to the lossless JPEG-LS.},
added-at = {2016-03-10T09:18:49.000+0100},
address = {Lake Buena Vista, Florida, USA},
author = {Richter, Th. and Wang, Z. and Simon, S. and Klaiber, M. and Ahmed, S.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2838e87e76be594ddf642f60cdcf12554/thomasrichter},
booktitle = {2012 IEEE International Conference on Image Processing ICIP 2012},
doi = {10.1109/ICIP.2012.6467046},
interhash = {bd293196d171e4dea1cb36b6baa7c236},
intrahash = {838e87e76be594ddf642f60cdcf12554},
isbn = {978-1-4673-2534-9},
keywords = {JPEG-LS Perceptual coding, distortion, just-noticeable perceptual quantization,},
month = sep,
organization = {IEEE},
pages = {1061 - 1064},
publisher = {IEEE},
timestamp = {2016-03-10T08:20:00.000+0100},
title = {{SSPQ} - spatial domain perceptual image codec based on subsampling and perceptual quantization},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6467046},
year = 2013
}