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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Imaging Technology, IWAIT 2021
EditorsMasayuki Nakajima, Jae-Gon Kim, Wen-Nung Lie, Qian Kemao
PublisherSPIE
ISBN (Electronic)9781510643642
DOIs
Publication statusPublished - 2021
Event2021 International Workshop on Advanced Imaging Technology, IWAIT 2021 - Kagoshima, Virtual, Japan
Duration: 5 Jan 20216 Jan 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11766
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2021 International Workshop on Advanced Imaging Technology, IWAIT 2021
Country/TerritoryJapan
CityKagoshima, Virtual
Period5/01/216/01/21

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