Abstract
Image fusion is a technique of combining source images i.e. multi-modal, multi-focus etc. to obtain a new more informative image. Multi-focus image fusion algorithm combines different images having different parts in focus. Applications of image fusion includes remote sensing, digital camera etc. This paper describes various multi-focus image fusion algorithms which uses different focus measure such as spatial frequency, energy of image laplacian, morphological opening and closing etc. The performance of these algorithms is analyzed based on how focused regions in images are determined to get a fused image The method used for multi-focus image fusion is identifying the focused regions and combine them together to get an enhanced image.
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