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Transform Image Coding with Global Thresholding: Application to baseline JPEG

Transform Image Coding with Global Thresholding: Application to baseline JPEG

Ouled Zaid A., Olivier C., Alata O., Marmoiton F.
Pattern Recognition Letters, Volume 24, Number 7, pages 959-964 - April 2003
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In this paper, we present an image-adaptive joint photographers expert group encoding algorithm that incorporates global thresholding based on the statistical information of the discrete cosine transform (DCT) coefficient distributions. These statistics are also used to construct rate/distortion-specific quantization tables with nearly optimal tradeoffs. Results on natural and SPOT images demonstrate that the proposed thresholding technique improves the reconstructed image quality compared to that provided by other DCT image coding schemes without thresholding.

BibTex references

@Article{OOAM2003_1314,
author = {Ouled Zaid, A. and Olivier, C. and Alata, O. and Marmoiton, F.},
title = {Transform Image Coding with Global Thresholding: Application to baseline JPEG.},
journal = {Pattern Recognition Letters},
number = {7},
volume = {24},
pages = {959-964},
month = {April},
year = {2003},
keywords = {DCT image coding, global thresholding, statistic modeling, information criteria (IC)},
url = {http://www.sciencedirect.com/science?_ob=IssueURL\&_tockey=%23TOC%235665%232003%23999759992%23373366%23FLA%23\&_auth=y\&view=c\&_acct=C000028278\&_version=1\&_urlVersion=0\&_userid=554142\&md5=c8df8dd79036deeca433ad410c23f840},
}