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Journal of Electronic Imaging

Algorithm for JPEG artifact reduction via local edge regeneration
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Paper 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.

Paper Details

Date Published: 6 February 2014
PDF: 14 pages
J. Electron. Imaging. 23(1) 013018 doi: 10.1117/1.JEI.23.1.013018
Published in: Journal of Electronic Imaging Volume 23, Issue 1
Show Author Affiliations
S. Alireza Golestaneh, Oklahoma State Univ. (United States)
Damon M. Chandler, Oklahoma State Univ. (United States)

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