A Novel Approach for Denoising and Enhancement of Extremely Low-light Video

被引：33
作者：
Kim, Minjae [1 ]
Park, Dubok [2 ]
Han, David K. [3 ]
Ko, Hanseok [1 ]
机构：
[1] Korea Univ, Sch Elect Engn, Seoul, South Korea
[2] Korea Univ, Dept Visual Informat Proc, Seoul, South Korea
[3] Off Naval Res, Arlington, VA 22217 USA
来源：
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | 2015年 / 61卷 / 01期
关键词：
Noise reduction; tone mapping; nonlocal means; low-light video; ADAPTIVE HISTOGRAM EQUALIZATION; CONTRAST ENHANCEMENT; NOISE REMOVAL; IMAGE; INFORMATION; ADAPTATION;
D O I：
10.1109/TCE.2015.7064113
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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 consumption(1).
引用
收藏
页码：72 / 80
页数：9
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