Coding artifact reduction of JPEG images using SSIM-optimal filtering with quantization constraint

Yosuke Shigedomi; Kaiyu Suzuki; Ichiro Matsuda

doi:10.1117/12.3018105

2 May 2024 Coding artifact reduction of JPEG images using SSIM-optimal filtering with quantization constraint

Yosuke Shigedomi, Kaiyu Suzuki, Ichiro Matsuda

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 131640I (2024) https://doi.org/10.1117/12.3018105
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

Since the JPEG standard employs discrete cosine transform (DCT) based lossy coding algorithm, quality degradation due to coding artifacts is unavoidable especially at low coding rates. In order to alleviate this problem, we previously proposed a post filtering method that can maximize the well-known objective quality index called SSIM. In this paper, we combine the method with the projection onto convex sets (POCS) algorithm to exploit quantization constraint (QC) prior on DCT coefficients extracted from the JPEG image. Experimental results indicate that SSIM scores of the JPEG images are improved by applying the POCS algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yosuke Shigedomi, Kaiyu Suzuki, and Ichiro Matsuda "Coding artifact reduction of JPEG images using SSIM-optimal filtering with quantization constraint", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 131640I (2 May 2024); https://doi.org/10.1117/12.3018105

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