Design of a SSIM-optimal 2D post filter with symmetric coefficients for coding artifacts reduction

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

doi:10.1117/12.2626106

30 April 2022 Design of a SSIM-optimal 2D post filter with symmetric coefficients for coding artifacts reduction

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

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217718 (2022) https://doi.org/10.1117/12.2626106
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

We previously proposed a method of designing a 2D FIR filter that can maximize the well-known objective quality index called SSIM. The designed filter can be used as a post processing tool for lossy image coding methods to reduce coding artifacts. In this scenario, there is a trade-off between the amount of side information on filter coefficients and the obtained gain in image quality. In this paper, effectiveness of the designed filters on the rate-SSIM based coding performance is evaluated under different settings of the size and quantization precision of the filter coefficients. Moreover, we introduce symmetric constraints on the filter coefficients to reduce the side information.

Citation Download Citation

Kodai Ogawa, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh, and Yusuke Kameda "Design of a SSIM-optimal 2D post filter with symmetric coefficients for coding artifacts reduction", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217718 (30 April 2022); https://doi.org/10.1117/12.2626106

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