Image Fusion Techniques-A Comparative Study
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Vibha Gupta, Sakshi Mehra
|DOI : 10.14445/22315381/IJETT-V32P220|
Vibha Gupta, Sakshi Mehra"Image Fusion Techniques-A Comparative Study", International Journal of Engineering Trends and Technology (IJETT), V32(2),113-118 February 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Image fusion is the process of combining relevant information from two or more images into a single image which contains more information than any of the input images. Merging of two or more images produces high resolution multispectral image as it maximizes the relevant information from input images of a scene into a single composite image by reducing uncertainty which further minimize redundancy in the output. In this paper a review has been made on different techniques of image fusion. It includes classification of Image Fusion techniques like Spatial Domain and Frequency Domain which are further classified as Simple Average, Minimum, Maximum, Intensity Hue Saturation, Principle Component Analysis, Laplacian Pyramid, Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Integer Lifting Wavelet Transform.
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Image Fusion, Spatial Domain, Transform Domain, Pyramid Decomposition, Medical Imaging, Remote Sensing.