Review of Turbulence-Degraded Image Restoration Techniques
Turbulence-degraded image restoration techniques aim to address the problems of image blurring and distortion caused by turbulence effects in imaging systems.This paper introduces various models that describe the impact of turbulence on images,including the Kolmogorov turbulence model,the moving average model,the Zernike polynomial model,and the average structure function model.It highlights the latest research progress in blind image restoration techniques and deep learning-based image restoration methods.Additionally,it presents the research advancements made by our research group in this field and discusses future directions for image resto-ration technology research.
万方数据
维普
