DCT Based Texture Region Classification for Image Denoising

Seong Eui Lee, Jong Han Kim, Je Ho Ryu, Sung Min Woo, Jong Ok Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image denoising has long been studied in literature. However, so many conventional techniques may excessively smooth texture regions during the denoising process and the original texture information is lost. This could be resolved by adjusting the strength of denoising if texture regions of a noise image were effectively classified. In this paper, we propose a new texture classification method to exploit frequency characteristics on DCT domain where texture can be easily separated from non-texture.

Original languageEnglish
Title of host publication2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665409346
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Electronics, Information, and Communication, ICEIC 2022 - Jeju, Korea, Republic of
Duration: 2022 Feb 62022 Feb 9

Publication series

Name2022 International Conference on Electronics, Information, and Communication, ICEIC 2022

Conference

Conference2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period22/2/622/2/9

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2021-2018-0-01421) supervised by the IITP(Institute of Information & communications Technology Planning & Evaluation).

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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