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Temporal Color Rolling Suppression Algorithm Considering Time-varying Illuminant  

Oh, Hyun-Mook (Institute of TMS Information Technology, Yonsei University)
Kang, Moon-Gi (Institute of TMS Information Technology, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.5, 2011 , pp. 55-62 More about this Journal
Abstract
In this paper, a temporal color and luminance variation suppression algorithm for a digital video sequence is proposed by considering time-varying light source. When a video sequence is sampled with the periodically emitting illuminant and with a short exposure time, the color rolling phenomenon occurs, where the color and the luminance of the image periodically change from field to field. In conventional signal processing techniques, the luminance variation remaining in the resultant video sequence degrades the constancy of the image sequence. In the proposed method, we obtain video sequences with constant luminance and color by compensating for the inter-field luminance variation. Based on a motion detection technique, the amount of the luminance variation for each channel is estimated on the background of the sequence without the effects of moving objects. The experimental results clearly show that our strategy efficiently estimated the illuminant change without being affected by moving objects, and the variations were efficiently reduced.
Keywords
color rolling phenomenon; motion detection; temporal color variation; luminance consistency;
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