Joint bilateral based image denoising using multi-sized 2D hard threshold

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

Abstract

Non-local processing based denoising methods obtain high quality outputs. However, they have high calculation costs due to the non-local processing. In this paper, we focus on the bilateral filter instead of non-local processing. Although bilateral filter is a traditional local processing filter which can preserve edges, it cannot remove strong noise. Therefore, we utilize the joint bilateral filter, which calculates filter coefficients using another reference image. For adaptation to single image denoising, we utilize a pre-estimated image by the hard threshold operation in 2D frequency domain. To obtain a pre-estimated noiseless image while preserving image details, we apply multi-sized hard threshold operation and aggregate their outputs. Moreover, we change the estimation of the joint bilateral filter coefficients whether a target pixel is in an edge regions or not. By these improvements, our proposed method removes noise with preserving image details in a low calculation cost and experimental results show our method has comparable quality to non-local denoising methods.

Original languageEnglish
Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1178-1181
Number of pages4
Volume2018-February
ISBN (Electronic)9781538615423
DOIs
Publication statusPublished - 2018 Feb 5
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 2017 Dec 122017 Dec 15

Other

Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
CountryMalaysia
CityKuala Lumpur
Period17/12/1217/12/15

Fingerprint

Image denoising
Processing
Costs
Pixels

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Signal Processing

Cite this

Yamaguchi, T., & Ikehara, M. (2018). Joint bilateral based image denoising using multi-sized 2D hard threshold. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (Vol. 2018-February, pp. 1178-1181). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2017.8282207

Joint bilateral based image denoising using multi-sized 2D hard threshold. / Yamaguchi, Takuro; Ikehara, Masaaki.

Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 1178-1181.

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

Yamaguchi, T & Ikehara, M 2018, Joint bilateral based image denoising using multi-sized 2D hard threshold. in Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. vol. 2018-February, Institute of Electrical and Electronics Engineers Inc., pp. 1178-1181, 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017, Kuala Lumpur, Malaysia, 17/12/12. https://doi.org/10.1109/APSIPA.2017.8282207
Yamaguchi T, Ikehara M. Joint bilateral based image denoising using multi-sized 2D hard threshold. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Vol. 2018-February. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1178-1181 https://doi.org/10.1109/APSIPA.2017.8282207
Yamaguchi, Takuro ; Ikehara, Masaaki. / Joint bilateral based image denoising using multi-sized 2D hard threshold. Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1178-1181
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