Paper
15 March 2019 A novel approach for image enhancement with binocular cameras
Dianle Zhou, Yan Liu, Xiangrong Zeng, Jian Yang
Author Affiliations +
Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 1104106 (2019) https://doi.org/10.1117/12.2523253
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany
Abstract
Binocular cameras have gained increasing attention because they can capture high-resolution images at a lower cost than monocular cameras. However, many existing binocular camera technologies typically require accurate depth estimation. To address this problem, this paper presents a new image enhancement method based on monochromecolored cameras. Our method replaces depth estimation with dense matching of feature points, thereby effectively reducing the computational complexity. After image matching, matrix completion is used to recover the color information of the monochrome image. Consequently, our method produces a high-quality image under the low-light condition. We built real image database for the experiments, and the results reveal that our method exhibits superior performance over existing methods.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dianle Zhou, Yan Liu, Xiangrong Zeng, and Jian Yang "A novel approach for image enhancement with binocular cameras", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104106 (15 March 2019); https://doi.org/10.1117/12.2523253
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KEYWORDS
Cameras

Imaging systems

Light sources and illumination

Image restoration

Image enhancement

Image processing

Feature extraction

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