Abstract: Image fusion is a technique used to extract significant information from a set of input images and combine it to get a single output image to create a more informative and useful image than any of the input images. The primary usage of image fusion in multi-focus cameras is to retrieve the multi-focused image by combining data from various images of the same scene. The review of various image fusion methods, including the Averaging Method, Select Maximum/Select Minimum, Discrete Wavelet transform-based fusion, and Principal Component Analysis (PCA)-based fusion, is presented in this paper. All of the methods are compared to determine which method is the most effective for further study.
Keywords: IF,PCA, DWT, DCT, Spatial, Frequency, colour distortion.
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DOI:
10.17148/IJARCCE.2022.11738
[1] Dhanya M S, Harshitha D, Mounitha T S, Shreya M, Seema Srinivas, "Comparative Analysis of various Image Fusion Techniques," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11738
