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Proceedings Paper

A novel multiple cues based image fusing algorithm for high dynamic range image generation
Author(s): Xiaojun Wu; Zhan Song; Gang Yu; Feng Zheng
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Paper Abstract

Multiple-exposure-based methods have been an effective means for high dynamic range (HDR) imaging technology. The current methods are greatly dependent on tone mapping, and most of them are unable to accurately recover the local details and colors of the scene. In this work, we present a novel HDR method by using multiple image cues for the image merging process. Firstly, all the images with various exposure times are divided into some uniform sub-regions and an exposure estimation technique is implemented to judge the well exposed one. With all the image blocks have best exposing quality are selected, a blending function is proposed to remove the transition boundaries between these blocks. A fidelity metric index is introduced to assess the final fusion image, and experimental results on public image libraries are given to demonstrate its high performance.

Paper Details

Date Published: 13 January 2012
PDF: 7 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490I (13 January 2012); doi: 10.1117/12.920263
Show Author Affiliations
Xiaojun Wu, Shenzhen Institutes of Advanced Technology (China)
Harbin Institute of Technology (China)
Zhan Song, Shenzhen Institutes of Advanced Technology (China)
The Chinese Univ. of Hong Kong (Hong Kong, China)
Gang Yu, Harbin Institute of Technology (China)
Feng Zheng, Shenzhen Institutes of Advanced Technology (China)
The Chinese Univ. of Hong Kong (Hong Kong, China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis

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