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 | |
| 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 | Thailand |
| City | Chiang Mai |
| Period | 18/1/7 → 18/1/9 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Media Technology
Cite this
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
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TY - GEN
T1 - Random-valued impulse noise removal using non-local search for similar structures and sparse representation
AU - Tsuda, Kengo
AU - Fujisawa, Takanori
AU - Ikehara, Masaaki
PY - 2018/5/30
Y1 - 2018/5/30
N2 - 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.
AB - 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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U2 - 10.1109/IWAIT.2018.8369628
DO - 10.1109/IWAIT.2018.8369628
M3 - Conference contribution
SP - 1
EP - 4
BT - 2018 International Workshop on Advanced Image Technology, IWAIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -