Automatic image enhancement based on multi-scale image decomposition

Lu Feng; Zhuangzhi Wu; Luo Pei; Xiong Long

doi:10.1117/12.2050807

10 January 2014 Automatic image enhancement based on multi-scale image decomposition

Lu Feng, Zhuangzhi Wu, Luo Pei, Xiong Long

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 906912 (2014) https://doi.org/10.1117/12.2050807
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

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.

Citation Download Citation

Lu Feng, Zhuangzhi Wu, Luo Pei, and Xiong Long "Automatic image enhancement based on multi-scale image decomposition", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906912 (10 January 2014); https://doi.org/10.1117/12.2050807

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