English Literature with Corresponding Code Implementation for Motion Blur Image Restoration

This literature provides a complete English research paper along with its corresponding code implementation, with the primary objective of restoring motion-blurred images. The author details motion blur restoration methods and includes practical code examples demonstrating key algorithms such as point spread function (PSF) estimation and Wiener filtering for deconvolution. Through this paper, readers can understand the fundamental principles and implementation steps of motion blur image restoration, including code structures for handling different blur types and noise levels. Furthermore, the author discusses the advantages and limitations of the restoration methods, suggests potential improvements like adaptive regularization parameters or deep learning enhancements, and provides performance evaluation metrics within the codebase. This comprehensive resource enables readers to gain in-depth knowledge of motion blur restoration techniques, serving as valuable reference for related research and practical applications.