Abstract
Multi-focus Image Fusion (MFIF) is a technique that combines multiple images to obtain a composite image in which all the objects are in-focus and have improved image quality. More information is stored by the focused image than that of the information stored by the source image. MFIF provides fused images which can be used for various image processing tasks like target recognition, feature extraction, and segmentation. There exists number of MFIF techniques in spatial as well as transform domain such as Stationary Wavelet Transform, Discrete Wavelet Transform, and Principal Component Analysis. In this paper, comparative analysis of various MFIF techniques which are used to fuse multi-focused images is done. Qualitative as well as quantitative evaluation has been carried out for various MFIF techniques. MFIF provides a fused image which helps for high resolution of vision. Various challenges/issues related to the existing MFIF techniques are also highlighted and will be helpful in the future.
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