2D filter design for coding artifacts reduction using structural similarity as a metric

Kodai Ogawa; Yusuke Kameda; Yasuyo Kita; Ichiro Matsuda; Susumu Itoh

doi:10.1117/12.2590802

13 March 2021 2D filter design for coding artifacts reduction using structural similarity as a metric

Kodai Ogawa, Yusuke Kameda, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117660M (2021) https://doi.org/10.1117/12.2590802
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

This paper describes a method of designing a 2D post filter for reducing coding artifacts caused by lossy image compression. Though Mean Squared Error (MSE) has been typically used in such filter design, it is not necessarily a good quality measure in terms of consistency with subjective perception. In this paper, we employ a more reliable quality measure called Structural SIMilarity (SSIM), and derive filter coefficients that can maximize the SSIM score for each image.

Citation Download Citation

Kodai Ogawa, Yusuke Kameda, Yasuyo Kita, Ichiro Matsuda, and Susumu Itoh "2D filter design for coding artifacts reduction using structural similarity as a metric", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117660M (13 March 2021); https://doi.org/10.1117/12.2590802

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