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6 February 2014 Algorithm for JPEG artifact reduction via local edge regeneration
S. Alireza Golestaneh, Damon M. Chandler
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Journal of Electronic Imaging, Vol. 23, Issue 1, 013018 (February 2014). https://doi.org/10.1117/1.JEI.23.1.013018
Abstract
Transform coding using the discrete cosine transform is one of the most popular techniques for image and video compression. However, at low bit rates, the coded images suffer from severe visual distortions. An innovative approach is proposed that deals with artifacts in JPEG compressed images. Our algorithm addresses all three types of artifacts which are prevalent in JPEG images: blocking, and for edges blurring, and aliasing. We enhance the quality of the image via two stages. First, we remove blocking artifacts via boundary smoothing and guided filtering. Then, we reduce blurring and aliasing around the edges via a local edge-regeneration stage. We compared the proposed algorithm with other modern JPEG artifact-removal algorithms. The results demonstrate that the proposed approach is competitive, and can in many cases outperform, competing algorithms.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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S. Alireza Golestaneh and Damon M. Chandler "Algorithm for JPEG artifact reduction via local edge regeneration," Journal of Electronic Imaging 23(1), 013018 (6 February 2014). https://doi.org/10.1117/1.JEI.23.1.013018
Published: 6 February 2014
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Cited by 35 scholarly publications.
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KEYWORDS
Image quality
Image compression
Image filtering
Detection and tracking algorithms
Visualization
Edge detection
Image enhancement
CHORUS Article. This article was made freely available starting 06 February 2015
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