Adaptive Vector Filtering with Low Computational Complexity for Image Sensor Applications
Chunmei Li, Kyuyoung Kim, Young-Jae Min, Chaesung Kim, Soo-Won Kim · 2010
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.