@inproceedings{421501940054454798a95297b95ebf6e,
title = "Automatic image enhancement based on multi-scale image decomposition",
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.",
keywords = "Detail enhancement, Diffusion map, Image decomposition, Image enhancement",
author = "Lu Feng and Zhuangzhi Wu and Luo Pei and Xiong Long",
year = "2014",
doi = "10.1117/12.2050807",
language = "英语",
isbn = "9781628410013",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Fifth International Conference on Graphic and Image Processing, ICGIP 2013",
note = "5th International Conference on Graphic and Image Processing, ICGIP 2013 ; Conference date: 26-10-2013 Through 27-10-2013",
}