MATLAB Digital Image Fusion

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Resource Overview

An excellent introductory program for learning image fusion techniques, implementing image transformations, applying fusion strategies in the transform domain, and performing inverse transformations to complete the fusion process

Detailed Documentation

This example demonstrates how to perform digital image fusion using MATLAB. Image fusion involves transforming input images into a different domain (such as frequency or wavelet domain), applying fusion strategies in this transformed space, and then performing inverse transformation to reconstruct the fused image. The implementation typically includes key MATLAB functions like imread for image loading, transformation functions (dct2 for discrete cosine transform or wavedec2 for wavelet decomposition), fusion algorithms for combining transform coefficients, and inverse transformation functions (idct2 or waverec2) to obtain the final fused image. The fusion strategy may involve selecting maximum coefficients, weighted averaging, or more sophisticated rule-based approaches in the transform domain.

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