Adaptive vector filtering with low computational complexity for image sensor applications

Chunmei Li; Kyu Young Kim; Young Jae Min; Chae Sung Kim; Soo Won Kim

doi:10.1109/SOPO.2010.5504487

Adaptive vector filtering with low computational complexity for image sensor applications

Chunmei Li^*, Kyu Young Kim, Young Jae Min, Chae Sung Kim, Soo Won Kim

^*Corresponding author for this work

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

Abstract

In this paper, a new adaptive vector filtering method with low computational complexity for image sensor applications is presented. The alternation between the ASDDF and the AVMF in the dependence on the order-statistics theory reduces the computational complexity. In addition, the proposed method provides excellent detection of noisy pixels and removes both chromatic and achromatic noisy pixels.

Original language	English
Title of host publication	2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings
DOIs	https://doi.org/10.1109/SOPO.2010.5504487
Publication status	Published - 2010
Event	International Symposium on Photonics and Optoelectronics, SOPO 2010 - Chengdu, China Duration: 2010 Jun 19 → 2010 Jun 21

Publication series

Name	2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings

Other

Other	International Symposium on Photonics and Optoelectronics, SOPO 2010
Country/Territory	China
City	Chengdu
Period	10/6/19 → 10/6/21

Keywords

Adaptive vector filter
Image sensor
Impulse noise
Order-statistics theory

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/SOPO.2010.5504487

Cite this

Adaptive vector filtering with low computational complexity for image sensor applications. / Li, Chunmei; Kim, Kyu Young; Min, Young Jae et al.
2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings. 2010. 5504487 (2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings).

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

Li, C, Kim, KY, Min, YJ, Kim, CS & Kim, SW 2010, Adaptive vector filtering with low computational complexity for image sensor applications. in 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings., 5504487, 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings, International Symposium on Photonics and Optoelectronics, SOPO 2010, Chengdu, China, 10/6/19. https://doi.org/10.1109/SOPO.2010.5504487

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title = "Adaptive vector filtering with low computational complexity for image sensor applications",

abstract = "In this paper, a new adaptive vector filtering method with low computational complexity for image sensor applications is presented. The alternation between the ASDDF and the AVMF in the dependence on the order-statistics theory reduces the computational complexity. In addition, the proposed method provides excellent detection of noisy pixels and removes both chromatic and achromatic noisy pixels.",

keywords = "Adaptive vector filter, Image sensor, Impulse noise, Order-statistics theory",

author = "Chunmei Li and Kim, \{Kyu Young\} and Min, \{Young Jae\} and Kim, \{Chae Sung\} and Kim, \{Soo Won\}",

year = "2010",

doi = "10.1109/SOPO.2010.5504487",

language = "English",

isbn = "9781424449644",

series = "2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings",

booktitle = "2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings",

note = "International Symposium on Photonics and Optoelectronics, SOPO 2010 ; Conference date: 19-06-2010 Through 21-06-2010",

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T1 - Adaptive vector filtering with low computational complexity for image sensor applications

AU - Li, Chunmei

AU - Kim, Kyu Young

AU - Min, Young Jae

AU - Kim, Chae Sung

AU - Kim, Soo Won

PY - 2010

Y1 - 2010

N2 - In this paper, a new adaptive vector filtering method with low computational complexity for image sensor applications is presented. The alternation between the ASDDF and the AVMF in the dependence on the order-statistics theory reduces the computational complexity. In addition, the proposed method provides excellent detection of noisy pixels and removes both chromatic and achromatic noisy pixels.

AB - In this paper, a new adaptive vector filtering method with low computational complexity for image sensor applications is presented. The alternation between the ASDDF and the AVMF in the dependence on the order-statistics theory reduces the computational complexity. In addition, the proposed method provides excellent detection of noisy pixels and removes both chromatic and achromatic noisy pixels.

KW - Adaptive vector filter

KW - Image sensor

KW - Impulse noise

KW - Order-statistics theory

UR - https://www.scopus.com/pages/publications/77954894966

U2 - 10.1109/SOPO.2010.5504487

DO - 10.1109/SOPO.2010.5504487

M3 - Conference contribution

AN - SCOPUS:77954894966

SN - 9781424449644

T3 - 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings

BT - 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings

T2 - International Symposium on Photonics and Optoelectronics, SOPO 2010

Y2 - 19 June 2010 through 21 June 2010

ER -

Adaptive vector filtering with low computational complexity for image sensor applications

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Keywords

ASJC Scopus subject areas

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