Comprehensive Review of Video Enhancement Algorithms for Low Lighting Conditions-Reference-Cited by-同舟云学术

Comprehensive Review of Video Enhancement Algorithms for Low Lighting Conditions

Published:2016 Issue: Volume: Page:475-485
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Vishalakshi G. R.,Gopalakrishna M. T.,Hanumantharaju M. C.

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2757-1_47

Reference15 articles.

1. Xuan dong, Guan wang, yi(Amy) pang, Weixin Li, Jiangtao(Gene) Wen “Fast Efficient algorithm for enhancement of low-lighting video.

2. M. Blanco, H. M. Jonathan, and T. A. Dingus. “Evaluating New Technologies to Enhance Night Vision by Looking at Detection and Recognition Distances of Non-Motorists and Objects,” in Proc. Human Factors and Ergonomics Society, Minneapolis, MN, vol. 5, pp. 1612–1616 Jan. 2001.

3. O. Tsimhoni, J. Bargman, T. Minoda, and M. J. Flannagan. “Pedestrian ¨Detection with Near and Far Infrared Night Vision Enhancement,” Tech. rep., The University of Michigan, 2004.

4. L. Tao, H. Ngo, M. Zhang, A. Livingston, and V. Asari. “A Multi-sensor Image Fusion and Enhancement System for Assisting Drivers in Poor Lighting Conditions,” in Proc. IEEE Conf. Applied Imagery and Pattern Recognition Workshop, Washington, DC, pp. 106–113, Dec. 2005.

5. H. Ngo, L. Tao, M. Zhang, A. Livingston, and V. Asari. “A Visibility Improvement System for Low Vision Drivers by Nonlinear Enhancement of Fused Visible and Infrared Video,” in Proc. IEEE Conf. ComputerVision and Pattern Recognition, San Diego, CA,, pp. 25 enhancement of Low lighting video”. Jun 2005.

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