Title
Image Restoration: From Sparse and Low-Rank Priors to Deep Priors [Lecture Notes].
Abstract
The use of digital imaging devices, ranging from professional digital cinema cameras to consumer grade smartphone cameras, has become ubiquitous. The acquired image is a degraded observation of the unknown latent image, while the degradation comes from various factors such as noise corruption, camera shake, object motion, resolution limit, hazing, rain streaks, or a combination of them. Image rest...
Year
DOI
Venue
2017
10.1109/MSP.2017.2717489
IEEE Signal Processing Magazine
Keywords
Field
DocType
Cameras,Digital imaging,Transform coding,Dynamic range,Encoding,Digital cameras,Machine learning
Computer vision,Automatic image annotation,Feature detection (computer vision),Computer science,Sparse approximation,Image processing,Image quality,Digital imaging,Artificial intelligence,Image restoration,Digital image processing
Journal
Volume
Issue
ISSN
34
5
1053-5888
Citations 
PageRank 
References 
11
0.49
5
Authors
2
Name
Order
Citations
PageRank
Lei Zhang116326543.99
Wangmeng Zuo23833173.11