Low-Light Image Enhancement Using Adaptive Digital Pixel Binning
AbstractThis paper presents an image enhancement algorithm for low-light scenes in an environment with insufficient illumination. Simple amplification of intensity exhibits various undesired artifacts: noise amplification, intensity saturation, and loss of resolution. In order to enhance low-light images without undesired artifacts, a novel digital binning algorithm is proposed that considers brightness, context, noise level, and anti-saturation of a local region in the image. The proposed algorithm does not require any modification of the image sensor or additional frame-memory; it needs only two line-memories in the image signal processor (ISP). Since the proposed algorithm does not use an iterative computation, it can be easily embedded in an existing digital camera ISP pipeline containing a high-resolution image sensor. View Full-Text
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Yoo, Y.; Im, J.; Paik, J. Low-Light Image Enhancement Using Adaptive Digital Pixel Binning. Sensors 2015, 15, 14917-14931.
Yoo Y, Im J, Paik J. Low-Light Image Enhancement Using Adaptive Digital Pixel Binning. Sensors. 2015; 15(7):14917-14931.Chicago/Turabian Style
Yoo, Yoonjong; Im, Jaehyun; Paik, Joonki. 2015. "Low-Light Image Enhancement Using Adaptive Digital Pixel Binning." Sensors 15, no. 7: 14917-14931.