Dmitry A. Kolchaev, A. I. Efimov, Dmitry I. Ustukov
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Automatic Image Enhancement from a Mobile Synthetic Vision System
The work discusses basic image contrasting algorithms and noise compensation methods, an algorithm for estimating image quality based on an integral quality indicator, as well as approaches for estimating noise values in images. The results of contrasting algorithms work (with a numerical estimation) and the most prominent image filtering methods are presented. A description is given for an automatic image enhancement algorithm from a mobile synthetic vision system based on a choice of contrasting algorithms using an integral quality indicator, and a space-time filter using a pyramidal version of Lucas-Kanade optical flow algorithm is proposed.
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