Abstract
In this paper, a novel approach for noise reduction and enhancement of extremely low-light video is proposed. For noise removal, a motion adaptive temporal filtering based on a Kalman structured updating is presented. Dynamic range of denoised video is increased by adjustment of RGB histograms using Gamma correction with adaptive clipping thresholds. Finally, residual noise is removed using a nonlocal means (NLM) denoising filter. The proposed method works directly on the color filter array (CFA) raw video for achieving low memory consumption1.
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Kim, M., Park, D., Han, D., & Ko, H. (2015). A novel approach for denoising and enhancement of extremely low-light video. IEEE Transactions on Consumer Electronics, 61(1), 72–80. https://doi.org/10.1109/TCE.2015.7064113
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