Image Fusion Based on Wavelet Technology

This article presents a MATLAB implementation of image fusion using wavelet technology. Wavelets are mathematical tools capable of multi-resolution analysis and time-varying analysis. In image processing, wavelet transforms are widely applied in fields such as image denoising, compression, edge detection, and image fusion. The primary objective is to demonstrate how wavelet transforms can be utilized for image fusion, accompanied by a practical MATLAB code example. Key implementation aspects include: wavelet decomposition using functions like wavedec2() for multi-level image decomposition, fusion rule implementation for combining coefficients from different source images, and wavelet reconstruction using waverec2() to generate the final fused image. Through this article, readers will gain understanding of fundamental principles behind wavelet-based image fusion and practical MATLAB implementation techniques, including coefficient selection strategies and fusion rule optimization for different image characteristics.