Multiexposure Image Fusion
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 11
Abstract
Many applications such as robot navigation, defense, medical and remote sensing perform various processing tasks, which can be performed more easily when all objects in different images of the same scene are combined into a single fused image. In this paper, we propose a fast and effective method for image fusion. The proposed method derives the intensity based variations that is large and small scale, from the source images. In this approach, guided filtering is employed for this extraction. Gaussian and Laplacian pyramidal approach is then used to fuse the different layers obtained. Experimental results demonstrate that the proposed method can obtain better performance for fusion of all sets of images. The results clearly indicate the feasibility of the proposed approach
Authors and Affiliations
Suhaina J , Bindu K. R
Keywords
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