Random-valued impulse noise removal using non-local search for similar structures and sparse representation

Kengo Tsuda; Takanori Fujisawa; Masaaki Ikehara

doi:10.1109/IWAIT.2018.8369628

Random-valued impulse noise removal using non-local search for similar structures and sparse representation

Kengo Tsuda, Takanori Fujisawa, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we introduce a new method to remove random-valued impulse noise in an image. Random-valued impulse noise replaces the pixel value at a random position by a random value. Due to the randomness of the noisy pixel values, it is difficult to detect them by comparison with neighboring pixels, which is used in many conventional methods. Then we improve the recent noise detector which uses a non-local search of similar structure. Next we propose a new noise removal algorithm by sparse representation using DCT basis. Furthermore, the sparse representation can remove impulse noise by using the neighboring similar image patch. This method has much more superior noise removal performance than conventional methods.

Original language	English
Title of host publication	2018 International Workshop on Advanced Image Technology, IWAIT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538626153
DOIs	https://doi.org/10.1109/IWAIT.2018.8369628
Publication status	Published - 2018 May 30
Event	2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand Duration: 2018 Jan 7 → 2018 Jan 9

Other

Other	2018 International Workshop on Advanced Image Technology, IWAIT 2018
Country/Territory	Thailand
City	Chiang Mai
Period	18/1/7 → 18/1/9

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition
Media Technology

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10.1109/IWAIT.2018.8369628

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Random-valued impulse noise removal using non-local search for similar structures and sparse representation. / Tsuda, Kengo; Fujisawa, Takanori; Ikehara, Masaaki.

2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tsuda, K, Fujisawa, T & Ikehara, M 2018, Random-valued impulse noise removal using non-local search for similar structures and sparse representation. in 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2018 International Workshop on Advanced Image Technology, IWAIT 2018, Chiang Mai, Thailand, 18/1/7. https://doi.org/10.1109/IWAIT.2018.8369628

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abstract = "In this paper, we introduce a new method to remove random-valued impulse noise in an image. Random-valued impulse noise replaces the pixel value at a random position by a random value. Due to the randomness of the noisy pixel values, it is difficult to detect them by comparison with neighboring pixels, which is used in many conventional methods. Then we improve the recent noise detector which uses a non-local search of similar structure. Next we propose a new noise removal algorithm by sparse representation using DCT basis. Furthermore, the sparse representation can remove impulse noise by using the neighboring similar image patch. This method has much more superior noise removal performance than conventional methods.",

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Random-valued impulse noise removal using non-local search for similar structures and sparse representation

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