Automatic contrast enhancement using pixel-based calibrating and mean shift clustering

Yu Yi Liao, Jzau Sheng Lin, Ping Jui Liu, Shen Chuan Tai

研究成果: Conference contribution

摘要

In this paper, we present the method for automatic contrast enhancement of color image. The base concept of method is that an image has its own reference luminance level and each pixel has its own characteristic luminance that is brighter or darker than reference luminance level. In the proposed method, a given color image is converted to HSV color space from RGB color space firstly. Next, each pixel in the image find out the own characteristic luminance based on the reference luminance level. The characteristic luminance is calibrated to the target luminance that will get the acceptable luminance. We apply alpha blending the original luminance and characteristic luminance to reduce the HALO artifact and preserve details of darker area by mean shift clustering.

原文English
主出版物標題Recent Advances in Computer Science and Information Engineering
發行者Springer Verlag
頁面485-489
頁數5
版本VOL. 5
ISBN(列印)9783642257919
DOIs
出版狀態Published - 2012
事件2nd World Congress on Computer Science and Information Engineering, CSIE 2011 - Changchun, China
持續時間: 2011 六月 172011 六月 19

出版系列

名字Lecture Notes in Electrical Engineering
號碼VOL. 5
128 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other2nd World Congress on Computer Science and Information Engineering, CSIE 2011
國家/地區China
城市Changchun
期間11-06-1711-06-19

All Science Journal Classification (ASJC) codes

  • 工業與製造工程

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