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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings
DOIs
Publication statusPublished - 2010 Jul 30
EventInternational Symposium on Photonics and Optoelectronics, SOPO 2010 - Chengdu, China
Duration: 2010 Jun 192010 Jun 21

Other

OtherInternational Symposium on Photonics and Optoelectronics, SOPO 2010
CountryChina
CityChengdu
Period10/6/1910/6/21

Fingerprint

Image sensors
Computational complexity
Pixels
Statistics

Keywords

  • Adaptive vector filter
  • Image sensor
  • Impulse noise
  • Order-statistics theory

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Li, C., Kim, K. Y., Min, Y. J., Kim, C. S., & Kim, S-W. (2010). Adaptive vector filtering with low computational complexity for image sensor applications. In 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings [5504487] https://doi.org/10.1109/SOPO.2010.5504487

Adaptive vector filtering with low computational complexity for image sensor applications. / Li, Chunmei; Kim, Kyu Young; Min, Young Jae; Kim, Chae Sung; Kim, Soo-Won.

2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings. 2010. 5504487.

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

Li, C, Kim, KY, Min, YJ, Kim, CS & Kim, S-W 2010, Adaptive vector filtering with low computational complexity for image sensor applications. in 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings., 5504487, International Symposium on Photonics and Optoelectronics, SOPO 2010, Chengdu, China, 10/6/19. https://doi.org/10.1109/SOPO.2010.5504487
Li C, Kim KY, Min YJ, Kim CS, Kim S-W. Adaptive vector filtering with low computational complexity for image sensor applications. In 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings. 2010. 5504487 https://doi.org/10.1109/SOPO.2010.5504487
Li, Chunmei ; Kim, Kyu Young ; Min, Young Jae ; Kim, Chae Sung ; Kim, Soo-Won. / Adaptive vector filtering with low computational complexity for image sensor applications. 2010 Symposium on Photonics and Optoelectronic, SOPO 2010 - Proceedings. 2010.
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