Survey On: Deblur Removing Mild Blur Using Deep Learning
Sajad Ahmad · Zenodo (CERN European Organization for Nuclear Research) · 2023
This literature paper survey provides a comprehensive overview of the recent advancements in image deblurring techniques. Image deblurring is a significant task in image processing that aims to restore sharpness and clarity to blurry images. The paper covers various approaches to image deblurring, including traditional methods like blind and non-blind deconvolution, as well as modern approaches based on image priors, deep learning, and hybrid methods. The survey summarizes the key contributions of each method, their advantages, and their limitations in handling various types of blurs. The paper also discusses the evaluation metrics and benchmark datasets used to compare and analyze the performance of different methods. Furthermore, the survey highlights the current challenges in the field and suggests future research directions to improve the effectiveness and efficiency of image deblurring techniques.