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Video Backlight Compensation Algorithm Based on Reliability of Brightness Variation  

Hyun, Dae-Young (Signal Processing Lab., INMC, School of Electrical Engineering and Computer Sciences, Seoul National University)
Heu, Jun-Hee (Laboratory of Computational Computer Vision, Georgia Institute of Technology University)
Kim, Chang-Su (School of Electrical Engineering, Korea University)
Lee, Sang-Uk (Signal Processing Lab., INMC, School of Electrical Engineering and Computer Sciences, Seoul National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.6, 2010 , pp. 117-126 More about this Journal
Abstract
In the case of failure images with controlling lighting like backlighting and excessive frontlinghting, the compensation scheme for a specific area in an image is required. The interested region is first selected by user in our method to compensate the first frame. Then we define the matching function of brightness and energy function is proposed with weight of matching function and the relationship among the neighbors. Finally, the energy is minimized by the graph-cut algorithm to compensate the brightness of the first frame. Other frames are straightforwardly compensated using the results of the first frame. The brightness variations of the previous frame is transmitted to the next frame via motion vectors. The reliability of the brightness variation is calculated based on the motion vector reliability. Video compensation result is achieved by the process of the image case. Simulation show that the proposed algorithm provides more natural results than the conventional algorithms.
Keywords
backlight image; backlight compensation; image enhancement; energy function; graph cut;
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