Noise analysis and column FPN suppression technology
Noise is an important indicator that affects the image quality. Among the different processing strategies implemented in image sensors, the effect on the noise is complicated. The two types of noise that influences the imaging quality of the digital camera are analyzed firstly. The optical signal and reset signal of the typical correlated double sampling (CDS) are read out through two column amplifiers (CA), respectively. The performance of the two column amplifiers are not exactly the same, resulting in itself will bring the column FPN. To suppress the column FPN effectively, a single amplifier CDS scheme is proposed, which have only one CA, the power consumption and area of the proposed CDS circuit is reduced by half.
Keywords: Column FPN, Correlated double sampling (CDS), Column amplifier (CA), Denoising
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ABOUT THE AUTHORS
Xiao-Fen Jia
Mrs. Jia received the Master degree in control science and engineering, from the Harbin Institute of Technology. Currently, she is a lectorate at Anhui University of Science & Technology, Electrical and Information Engineering College. Her research interests include Image processing and Rough sets.
Bai-Ting Zhao
Dr. Zhao received the Master degree in control theory and control engineering from the Qingdao University of Science & Technology, in 2005. He received the Ph.D. degree in control science and engineering, from the Harbin Institute of Technology. Currently, he is a lectorate at Anhui University of Science & Technology, Electrical and Information Engineering College. His research interests include Image processing, intelligent control and Rough sets.
Xiao-Fen Jia
Mrs. Jia received the Master degree in control science and engineering, from the Harbin Institute of Technology. Currently, she is a lectorate at Anhui University of Science & Technology, Electrical and Information Engineering College. Her research interests include Image processing and Rough sets.
Bai-Ting Zhao
Dr. Zhao received the Master degree in control theory and control engineering from the Qingdao University of Science & Technology, in 2005. He received the Ph.D. degree in control science and engineering, from the Harbin Institute of Technology. Currently, he is a lectorate at Anhui University of Science & Technology, Electrical and Information Engineering College. His research interests include Image processing, intelligent control and Rough sets.