MATLAB Implementation for Graduation Project: Image Restoration Algorithm Research with Source Code

This article provides a comprehensive overview of my graduation research project focused on image restoration algorithms implemented in MATLAB. I will delve into the fundamental principles behind the algorithms, examine their practical applications, and provide complete source code for reference. The implementation includes key MATLAB functions such as imread() for image input, fft2() for frequency domain transformations, and specialized filtering operations for noise reduction and detail enhancement. Additionally, I will discuss recent advancements in the field of image restoration, explore future research directions, and demonstrate how these research findings can be applied to solve real-world image processing challenges. Through this paper, readers will gain a thorough understanding of image restoration algorithms and learn practical techniques for improving image restoration quality through optimized MATLAB implementations that incorporate error handling and performance optimization considerations.