论文标题

图像脱毛的调查

A Survey on Image Deblurring

论文作者

Li, ChuMiao

论文摘要

随着社会生活质量的改善和日常工作的实际需求,图像越来越多。图像由于摄像机震动而模糊,人类运动等已成为影响图像质量的关键。如何消除图像模糊和恢复清晰的图像已逐渐成为计算机视觉领域的重要研究方向。经过半个多世纪的不懈努力,大多数科学和技术工人在图像消化中取得了成果。本文回顾了图像Deblurring的工作,并特别介绍了更多经典的图像脱毛方法,这有助于了解当前的研究并期待未来的趋势。本文回顾了传统的图像脱布方法和深度代表性的图像脱毛方法,并全面分类并介绍了相应的技术方法。这篇综述可以为图像造影领域的研究人员提供一些指导,同时促进他们随后的研究和研究。

With the improvement of social life quality and the real needs of daily work, images are more and more all around us. Image blurring due to camera shake, human movement, etc. has become the key to affecting image quality. How to remove image blur and restore clear image has gradually become an important research direction in the field of computer vision. After more than half a century of unremitting efforts, the majority of scientific and technological workers have made fruitful progress in image deblurring. This article reviews the work of image deblurring and specifically introduces more classic image deblurring methods, which is helpful to understand current research and look forward to future trends. This article reviews the traditional image deblurring methods and depth-represented image deblurring methods, and comprehensively classifies and introduces the corresponding technical methods. This review can provide some guidance for researchers in the field of image deblurring, and at the same time facilitate their subsequent study and research.

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