Title :
Adaptive Vector Filtering with Low Computational Complexity for Image Sensor Applications
Author :
Li, Chunmei ; Kim, Kyu-Young ; Min, Young-Jae ; Kim, Chae-Sung ; Kim, Soo-Won
Author_Institution :
Dept. of Electron. Eng., Korea Univ., Seoul, South Korea
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 filters; computational complexity; image sensors; adaptive vector filtering method; computational complexity; image sensor; order statistic theory; Adaptive filters; Color; Colored noise; Computational complexity; Filtering algorithms; Filtering theory; Image edge detection; Image sensors; Signal processing; Variable speed drives;
Conference_Titel :
Photonics and Optoelectronic (SOPO), 2010 Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4963-7
Electronic_ISBN :
978-1-4244-4964-4
DOI :
10.1109/SOPO.2010.5504487
