Low-Light Image Enhancement Using Adaptive Digital Pixel Binningopen access
- Authors
- Yoo, Yoonjong; Im, Jaehyun; Paik, Joonki
- Issue Date
- Jul-2015
- Publisher
- MDPI AG
- Keywords
- pixel binning; image enhancement; anti-saturation
- Citation
- SENSORS, v.15, no.7, pp 14917 - 14931
- Pages
- 15
- Journal Title
- SENSORS
- Volume
- 15
- Number
- 7
- Start Page
- 14917
- End Page
- 14931
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9429
- DOI
- 10.3390/s150714917
- ISSN
- 1424-8220
1424-3210
- 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.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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