Paper Info
Title
Super resolution reconstruction based on total variation regularization.
Abstract
Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing and medical imaging. In this thesis, in order to obtain high resolution image from an image sequence of low resolution and improve the image quality, visual effects, total variation algorithm is used to estimate the motion of low resolution images caused by the restriction of environmental conditions and the physical limitations of imaging equipment. This algorithm contains a lot of processing technologies, such as, motion estimate, motion compensation, image fusion, de-nosing. Experiment result shows that the entropy of the high resolution image was improved and the D and Dindex are improved with the increasing of frames, so clearly high resolution image can be obtained from source image by using this algorithm. The super resolution algorithm mentioned in the thesis with high practical application value, can be applied to long-range remote sensing and face image restoration. © 2010 IEEE.
Year
DOI
Venue
2010
10.1109/ROBIO.2010.5723498
ROBIO
Keywords
Field
DocType
remote monitoring,image resolution,image restoration,remote sensing,total variation,image fusion,super resolution,mathematical model,motion estimation,pixel,image processing,image quality,low resolution,total variation regularization
Computer vision,Feature detection (computer vision),Image fusion,Image quality,Image processing,Sub-pixel resolution,Artificial intelligence,Engineering,Image restoration,Digital image processing,Image resolution
Conference
Volume
Issue
Citations 
null
null
0
PageRank 
References 
Authors
0.34
11
10
Name
Order
Citations
PageRank
Baikun Wan110416.90
Hongmei Zeng200.34
Weibo Yi303.04
Lan Ma401.01
Rui Xu503.04
Xiang Zheng602.37
Yanru Bai762.49
Hongzhi Qi84920.61
Dong Ming910551.47
Weijie Wang1052.01