6 February 2014 Algorithm for JPEG artifact reduction via local edge regeneration
Author Affiliations +
J. of Electronic Imaging, 23(1), 013018 (2014). doi:10.1117/1.JEI.23.1.013018
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.
© 2014 SPIE and IS&T
S. Alireza Golestaneh, 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

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