A Survey on Image Deblurring
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.
Code (0)
등록된 구현이 없습니다.
Tasks
DeblurringImage DeblurringSurveySimilar Papers 제목 키워드 기반
Deep Image Deblurring: A Survey
Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image. Advances in deep learning have led to significant progress in solving this problem, and…
DeblurringDeep LearningImage DeblurringSurveyA survey on facial image deblurring
When a facial image is blurred, it significantly affects high-level vision tasks such as face recognition. The purpose of facial image deblurring is to recover a clear image from a blurry input image, which can improve t…
DeblurringFace RecognitionImage DeblurringSurveyA Comprehensive Survey on Deep Neural Image Deblurring
Image deblurring tries to eliminate degradation elements of an image causing blurriness and improve the quality of an image for better texture and object visualization. Traditionally, prior-based optimization approaches …
Blind Image DeblurringDeblurringImage DeblurringSurveyBlind Deblurring using Deep Learning: A Survey
We inspect all the deep learning based solutions and provide holistic understanding of various architectures that have evolved over the past few years to solve blind deblurring. The introductory work used deep learning t…
BenchmarkingDeblurringDeep LearningSSIM+1Deep learning in motion deblurring: current status, benchmarks and future prospects
Motion deblurring is one of the fundamental problems of computer vision and has received continuous attention. The variability in blur, both within and across images, imposes limitations on non-blind deblurring technique…
DeblurringDeep Learning