DocumentCode :
1668658
Title :
Non-parametric single image super resolution
Author :
Yunsang Han ; Tae Byeong Chae ; Sangkeun Lee
Author_Institution :
Imaging Eng. GSAIM, Chung-Ang Univ., Seoul, South Korea
fYear :
2013
Firstpage :
281
Lastpage :
284
Abstract :
In this paper, we introduce a single image super resolution based on non-parametric local information. The basic idea of the proposed method is to use a property, which is inferred by relations between input and its lower resolution images, of an unknown high resolution image. The experimental results show the efficiency of the proposed algorithm compared to a state-of-the-art method. Besides, the proposed method is not only much faster than the compared method but also able to implement in hardware such as digital TVs and smart phones. Therefore, we believe that the proposed method can be a useful tool for super resolution-related fields.
Keywords :
image resolution; parameter estimation; digital TVs; high resolution image; low resolution image; nonparametric local information; nonparametric single image super resolution; smart phones; state-of-the-art method; super resolution-related fields; Algorithm design and analysis; Complexity theory; Computer vision; Conferences; Image resolution; Joints; Signal resolution; Non-parametric; Parameter estimation; Super resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
Conference_Location :
Incheon
Print_ISBN :
978-1-4673-5620-6
Type :
conf
DOI :
10.1109/FCV.2013.6485505
Filename :
6485505
Link To Document :
بازگشت