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Sensors 2015, 15(7), 14917-14931; doi:10.3390/s150714917

Low-Light Image Enhancement Using Adaptive Digital Pixel Binning

1
Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science, Multimedia, and Film Chung-Ang University, Seoul 156-756, Korea
2
CIS Division, SK Hynix, Gyeonggi-do 463-844, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 3 April 2015 / Revised: 12 June 2015 / Accepted: 19 June 2015 / Published: 25 June 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [5418 KB, uploaded 25 June 2015]   |  

Abstract

This 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
Keywords: pixel binning; image enhancement; anti-saturation pixel binning; image enhancement; anti-saturation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yoo, Y.; Im, J.; Paik, J. Low-Light Image Enhancement Using Adaptive Digital Pixel Binning. Sensors 2015, 15, 14917-14931.

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