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Proceedings Paper

Automatic image enhancement based on multi-scale image decomposition
Author(s): Lu Feng; Zhuangzhi Wu; Luo Pei; Xiong Long
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Paper Abstract

In image processing and computational photography, automatic image enhancement is one of the long-range objectives. Recently the automatic image enhancement methods not only take account of the globe semantics, like correct color hue and brightness imbalances, but also the local content of the image, such as human face and sky of landscape. In this paper we describe a new scheme for automatic image enhancement that considers both global semantics and local content of image. Our automatic image enhancement method employs the multi-scale edge-aware image decomposition approach to detect the underexposure regions and enhance the detail of the salient content. The experiment results demonstrate the effectiveness of our approach compared to existing automatic enhancement methods.

Paper Details

Date Published: 10 January 2014
PDF: 5 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906912 (10 January 2014); doi: 10.1117/12.2050807
Show Author Affiliations
Lu Feng, BeiHang Univ. (China)
Zhuangzhi Wu, BeiHang Univ. (China)
Luo Pei, BeiHang Univ. (China)
Xiong Long, BeiHang Univ. (China)

Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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