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
Link To Document :
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