A novel method for fusion of differently exposed images based on spatial distribution of intensity for ubiquitous multimedia

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• 作者：Mali Yu (1) (2)
  Enmin Song (1) (2)
  Renchao Jin (1) (2)
  Hong Liu (1) (2)
  Xiangyang Xu (1) (2)
  Guangzhi Ma (1) (2)
  
  1. School of Computer Science and Technology ; Huazhong University of Science and Technology ; 1037 Luoyu Road ; Wuhan ; Hubei ; 430074 ; China
  2. Key Laboratory of Education Ministry for Image Processing and Intelligent Control ; 1037 Luoyu Road ; Wuhan ; Hubei ; 430074 ; China
  
• 关键词：Exposure fusion ; Spatial distribution of intensity ; Background context ; Local contrast enhancement
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：74
• 期：8
• 页码：2745-2761
• 全文大小：2,660 KB
• 参考文献：1. Aydin, TO, Mantiuk, R, Myszkowski, K, Seidel, HP (2008) Dynamic range independent image quality assessment. ACM Trans Graph 27: pp. 69 CrossRef
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  7. Jo, KH, Vavilin, A (2011) HDR image generation based on intensity clustering and local feature analysis. Comput Human Behav 27: pp. 1507-1511 CrossRef
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  9. Mertens T, Kautz J, Van Reeth F (2007) Exposure fusion. In: Proc of the 15th Pacific Conference on Computer Graphics and Applications, pp 382鈥?90
  10. Mertens, T, Kautz, J, Reeth, F (2009) Exposure fusion: a simple and practical alternative to high dynamic range photography. Comput Graph Forum 28: pp. 161-171 CrossRef
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  12. Shen, R, Cheng, I, Shi, J, Basu, A (2011) Generalized random walks for fusion of multi-exposure images. IEEE Trans Image Process 20: pp. 3634-3646 CrossRef
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  15. Wang J, Feng S, Bao Q (2010) Pyramidal dual-tree directional filter bank based exposure fusion for two complementary images. In: IEEE 10th International Conference on Signal Processing, pp 1082鈥?085
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

Exposure fusion is an efficient way to produce a high-quality image for common Low Dynamic Range (LDR) output devices from multiple differently exposed LDR images of the same scene, which has significant potential to be applied in the ubiquitous multimedia area. Generating the fused image with high local contrast from fewer exposed images is still a challenging task. A novel method is proposed in this paper to fuse two differently exposed images based on the spatial distribution of intensity, which consists of two steps. First, the weights are computed based on the background context of the average image for producing the initial fused image. Then, we propose to enhance the initial fused image through removing the background context and efficiently refuse them. So the proposed method improves the local contrast in the dark region and keeps the color in the bright region. Experimental results and comparisons with the existing exposure fusion methods demonstrate that the proposed method has better performance and is convenient for GPU realization.