Adaptive defect correction and noise suppression module in the CIS image processing system

Su Wang; Su-ying Yao; Olivier Faurie; Zai-feng Shi

doi:10.1117/12.836651

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6 August 2009 Adaptive defect correction and noise suppression module in the CIS image processing system

Su Wang; Su-ying Yao; Olivier Faurie; Zai-feng Shi

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Proceedings Volume 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications; 73842V (2009) https://doi.org/10.1117/12.836651
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

The image quality in a CIS chip is inferior to that of the CCD mainly because the random noise, which is very difficult to be suppressed in analog circuits, especially in submicron process. The popular high quality random noise suppression algorithms are too complex to be used in a color CIS chip. Besides the random noise, the defect pixels are more difficult to avoid, especially in high resolution CIS system. Therefore, a novel spacial adaptive noise suppression algorithm, which combines the defect pixel correction function, is presented. The spatially adaptive defect correction and noise suppression algorithm consists of defect pixel detector, defect value corrector, image detail estimator, and two configurable Gaussion masks to deal with different complex level image region. With a fast and effective performance, cross mask and 25-in sorting methods are applied to the defect detector and detail estimator circuits. With good PSNR and visual quality results and much less hardware cost, the proposed method can be practically used in a CIS chip or other camera systems.

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Su Wang, Su-ying Yao, Olivier Faurie, and Zai-feng Shi "Adaptive defect correction and noise suppression module in the CIS image processing system", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73842V (6 August 2009); https://doi.org/10.1117/12.836651

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