Paper Info
Title
Multi-Image Deblurring Using Complement
Abstract
The purpose of image restoration is to recover the latent image from the observed blurred images. In multi-image restoration, the input image's quality directly affects the final deblurring result. In this paper, a blurry images restoration method based on the complement is proposed for the selection of images in multi-image restoration. First, we give a description of complement between different images. Then, the blurred images of maximum complement are selected by image selection method which is based on the iterative maximum complement. Finally, we use an existing deblurring method to estimate the latent image. We compare the new method with traditional methods, the experimental results clearly demonstrate the efficacy of the proposed method.
Year
DOI
Venue
2017
10.1007/978-3-319-67777-4_49
INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, ISCIDE 2017
Keywords
Field
DocType
Image deblurring, Multi-image deblurring, Complement
Computer vision,Deblurring,Latent image,Computer science,Artificial intelligence,Image restoration,Multi-image,Image selection
Conference
Volume
ISSN
Citations 
10559
0302-9743
0
PageRank 
References 
Authors
0.34
10
6
Name
Order
Citations
PageRank
Pei Wang13116.88
Jinqiu Sun2338.27
Haisen Li3495.47
Xueling Chen401.69
Yu Zhu58812.65
Yanning Zhang61613176.32