DocumentCode
1816512
Title
Image Enlargement with Lost High-Frequency Components Estimation Using Clustered Eigenspace-BPLP
Author
Orii, Hideaki ; Kawano, Hideaki ; Suetake, Noriaki ; Maeda, Hiroshi
Author_Institution
Grad. Sch. of Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
fYear
2010
fDate
14-17 Nov. 2010
Firstpage
404
Lastpage
407
Abstract
In this paper, in order to realize the image enlargement with high performance, we propose a new enlargement method, which restores high-frequency components lost in the interpolation-based methods, by using high-frequency estimation. The estimation is based on the eigenspace method proposed by Amano et al.. The proposed enlargement method can generate lost high-frequency components by using pairs of low- and high-frequency components of the original image, and is referred as back projection for lost high-frequency components. Experimental results show the proposed method can achieve promising enlargement.
Keywords
eigenvalues and eigenfunctions; image resolution; image restoration; interpolation; back projection; clustered eigenspace-BPLP; image enlargement; interpolation-based method; lost high-frequency component estimation; Artificial neural networks; Estimation; Image edge detection; Image resolution; Interpolation; Matrix decomposition; Training data; BPLP; image enlargement; linear estimation; super-resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Video Technology (PSIVT), 2010 Fourth Pacific-Rim Symposium on
Conference_Location
Singapore
Print_ISBN
978-1-4244-8890-2
Type
conf
DOI
10.1109/PSIVT.2010.74
Filename
5673772
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