DocumentCode
534209
Title
Research on Super Resolution Reconstruction Based on Scale Space
Author
Lixin, Jin ; Huini, Wang ; Yulong, Cao
Author_Institution
Sch. of Civil Eng., Beijing Jiaotong Univ., Beijing, China
Volume
2
fYear
2010
fDate
16-18 July 2010
Firstpage
92
Lastpage
95
Abstract
With the development of the electronics and information technology, the requirement of people toward the resolution of images become higher. However, the resolution of acquired images can´t meet our needs because of the different imaging system from a variety of factors. And it will cost too much to improve image resolution via using the physical hardware. So it requires a new method to solve this problem. Super-resolution is emerged in this context. This technique uses a software approach to enhance the resolution based on the existing images. Thus it has aroused widespread concern when it appeared. In this paper, on the basis of previous studies, a new super-resolution reconstruction method based on linear regression of scale-space which could obtain higher resolution image is proposed and the experiments indeed show the higher resolution image could be obtained after using the method.
Keywords
image reconstruction; image resolution; regression analysis; image resolution; linear regression; scale space; software approach; super resolution reconstruction method; Image reconstruction; Image resolution; Interpolation; Linear regression; Low pass filters; Pixel; Surface reconstruction; Interpolation; Linear regression; Scale-space; Super resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.251
Filename
5634908
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