Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization

Naoki Furuhashi; Azusa Oota; Taichi Yoshida; Masaaki Ikehara

doi:10.1109/ACSSC.2013.6810655

Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization

Naoki Furuhashi, Azusa Oota, Taichi Yoshida, Masaaki Ikehara

電気情報工学科

研究成果: Conference contribution

抄録

In this paper, we propose the non-local method for image de-noising via adaptive directional lifting-based discrete wavelet transform (ADL) and quantization. The non-local methods such as non-local means are interested in image denoising based on the self-similarity. They search similar blocks and estimate the original value. The proposed method doesn't search but generates new similar blocks by ADL with multiple directions, and quantization to denoise. It improves the denoising quality and reduces the computational complexity. Finally, we compare the proposed and conventional method, and show an advantage of them.

本文言語	English
ホスト出版物のタイトル	Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers
出版社	IEEE Computer Society
ページ	1995-1999
ページ数	5
ISBN（印刷版）	9781479923908
DOI	https://doi.org/10.1109/ACSSC.2013.6810655
出版ステータス	Published - 2013
イベント	2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States 継続期間: 2013 11月 3 → 2013 11月 6

出版物シリーズ

名前	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN（印刷版）	1058-6393

Other

Other	2013 47th Asilomar Conference on Signals, Systems and Computers
国/地域	United States
City	Pacific Grove, CA
Period	13/11/3 → 13/11/6

ASJC Scopus subject areas

信号処理
コンピュータネットワークおよび通信

文献へのアクセス

10.1109/ACSSC.2013.6810655

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引用スタイル

Furuhashi, N., Oota, A., Yoshida, T., & Ikehara, M. (2013). Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 1995-1999). [6810655] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810655

Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization. / Furuhashi, Naoki; Oota, Azusa; Yoshida, Taichi; Ikehara, Masaaki.

Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society, 2013. p. 1995-1999 6810655 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

研究成果: Conference contribution

Furuhashi, N, Oota, A, Yoshida, T & Ikehara, M 2013, Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization. in Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers., 6810655, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 1995-1999, 2013 47th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 13/11/3. https://doi.org/10.1109/ACSSC.2013.6810655

Furuhashi N, Oota A, Yoshida T, Ikehara M. Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society. 2013. p. 1995-1999. 6810655. (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2013.6810655

Furuhashi, Naoki ; Oota, Azusa ; Yoshida, Taichi ; Ikehara, Masaaki. / Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization. Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers. IEEE Computer Society, 2013. pp. 1995-1999 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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abstract = "In this paper, we propose the non-local method for image de-noising via adaptive directional lifting-based discrete wavelet transform (ADL) and quantization. The non-local methods such as non-local means are interested in image denoising based on the self-similarity. They search similar blocks and estimate the original value. The proposed method doesn't search but generates new similar blocks by ADL with multiple directions, and quantization to denoise. It improves the denoising quality and reduces the computational complexity. Finally, we compare the proposed and conventional method, and show an advantage of them.",

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Image denoising by adaptive directional lifting-based discrete wavelet transform and quantization

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出版物シリーズ

Other

ASJC Scopus subject areas

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