Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
563802 | Signal Processing | 2014 | 6 Pages |
Abstract
Many conventional denoising solutions adopt the channel-dependent noise model, which is less suitable than signal-dependent noise model to describe the noise characteristic of CMOS image sensor. In this paper, the cascaded Kalman filter is designed to eliminate the signal-dependent random noise from the raw data of CMOS image sensor. The major contribution of this work is that it establishes the state equation corresponding to the circuit structure of sensor pixel, instead of designing the denoising algorithm only from a mathematical point of view. The experimental results confirm that the performance of the proposed method outperforms the conventional ones.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Yu Zhang, Guangyi Wang, Jiangtao Xu, Zaifeng Shi, Tao Feng, Dexing Dong, Guoquan Chi,