Research on Image Restoration Processing Based on Gaussian Blur Algorithm

Blur is a decrease in image clarity caused by incorrect focusing, motion blur, or lens distortion of the image. Image restoration is the process of restoring degraded images as much as possible, following the inverse process of image degradation. Blur refers to the blurring or blurring of image details, and Gaussian blur is a commonly used model in image and signal degradation. This article is based on image processing theory. Firstly, a mathematical model for image degradation is constructed to lay the foundation for image restoration in response to this degradation process; Next, study Gaussian fuzzy logic and quantitatively describe the uncertainty within the image system using fuzzy membership functions; Then, the basic process of image restoration based on Gaussian blur algorithm is studied, including image denoising, obtaining the point spread function of the image, and using constrained least squares method to restore the image; Finally, study the quality evaluation of image restoration, including subjective and objective evaluations, and demonstrate the superiority of Gaussian blur algorithm through experimental comparative analysis.