A Comprehensive Analysis of Image Fusion Technique Using Exposure Bracketed Pairs
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The whole dynamic range of the human visibility is not captured by the hand-held ordinary consumable cameras. To enhance the dynamic range of a captured scene, the set of images of the same scene are taken. The images captured with short-exposure preserve sharp details, the long exposure focuses only on the object, not on the background information. In image fusion quality is considered to be an essential determinant of the value of processing image fusion in various applications. The quality varies on different applications. To determine the quality, spatial and spectral are alleged to be two important indexes. The image quality evaluation methods like standard deviation, mutual information, and information entropy, average difference, spatial frequency, and image fusion quality assessment are used. Many of the image fusion algorithms are used for different fusion schemes and input images with distortion like the flah and no flash images. The extraction approaches are the gradient and luminance extraction. The study deals with the color transfer between images and fusion performed as a simple aggregation of images. This paper presents a survey on the variational approach for the exposure fusion of images.