A new artifact removal method as cascade of Gaussian fuzzy edge decider and fuzzy image correction is proposed. In this design, a highly compressed i.e. low bit rate image is considered. Here, each overlapped block of image is fed to a Gaussian fuzzy based decider to check whether the central pixel of image block needs correction. Hence, the central pixel of overlapped block is corrected by fuzzy gradient of its neighbors. Experimental results shows remarkable improvement with presented gFAR algorithm compared to the past methods subjectively visual quality and objectively PSNR.
by Deepak Gambhir "Gaussian Fuzzy Blocking Artifacts Removal of High DCT Compressed Images"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd33361.pdf
Paper Url: https://www.ijtsrd.com/computer-science/multimedia/33361/gaussian-fuzzy-blocking-artifacts-removal-of-high-dct-compressed-images/deepak-gambhir
openaccessjournalofengineering, engineeringjournal, paperpublicationforengineering
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