The Application of Deep Learning in Image Deblurring
Chengchao Jiang, Lei Hu, Guotao Jia · 2024
Images are an important medium for people to obtain information. In the process of acquiring images, it is inevitable that images will become blurred due to various reasons. Image restoration is a technical method that uses algorithms to enhance image quality and is an important research field in computer vision. It is widely used in industrial, agricultural, and medical image processing. In recent years, with the rapid development of deep learning technology, an increasing number of image restoration algorithms based on deep neural networks have been proposed. This paper mainly introduces image restoration technology based on deep neural networks from the perspective of image deblurring. The paper first elaborates on the overall classification of image restoration algorithms, then discusses the causes of image blurring and commonly used traditional algorithms, deep learning algorithms, and models. Finally, the paper summarizes the advantages and disadvantages of various image restoration methods and prospects for the future development of image restoration technology.