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Proceedings Paper

Local retouching of degraded images by histogram-based similarity evaluation
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Paper Abstract

Quality of local regions in the scene could be deteriorated by the effects of ill-conditioned lighting effects and reflection. We develop a method to improve the quality of local regions. The local region of the image is firstly selected by an algorithm that is based on similarity evaluation of the region. Then the histogram of brightness and saturation of the local region are expanded using the histogram equalization, both the brightness and saturation are improved. In the next step, based on the distance from the point selected by user, the improved data are combined with the original image. The local part of the image is naturally merged with the surrounding scenes.

Paper Details

Date Published: 19 October 2006
PDF: 12 pages
Proc. SPIE 6375, Optomechatronic Sensors, Instrumentation, and Computer-Vision Systems, 63750H (19 October 2006); doi: 10.1117/12.684844
Show Author Affiliations
Lin Fu, Hokkaido Univ. (Japan)
Shun'ichi Kaneko, Hokkaido Univ. (Japan)
Takayuki Tanaka, Hokkaido Univ. (Japan)

Published in SPIE Proceedings Vol. 6375:
Optomechatronic Sensors, Instrumentation, and Computer-Vision Systems
Jonathan Kofman; Yasuhiro Takaya, Editor(s)

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