DocumentCode
3148846
Title
A new technique of non-iterative super-resolution without boundary distortion
Author
Ito, Izumi ; Kiya, Hitoshi
Author_Institution
Grad. Sch. of Decision Sci. & Technol., Tokyo Inst. of Technol., Tokyo, Japan
fYear
2012
fDate
25-30 March 2012
Firstpage
1273
Lastpage
1276
Abstract
We propose a new technique of non-iterative super-resolution image reconstruction. A closed form solution to reconstruction is derived in the discrete cosine transform (DCT) domain from a MAP-based cost functional. An average image is used in order to avoid iterative operations. Symmetric convolution with appropriate types of DCT suppresses boundary distortion. Experimental results demonstrate the effectiveness of the proposed technique.
Keywords
discrete cosine transforms; image reconstruction; image resolution; MAP-based cost functional; closed form solution; discrete cosine transform; image reconstruction; noniterative super-resolution; symmetric convolution; Convolution; Discrete Fourier transforms; Discrete cosine transforms; Image reconstruction; Image resolution; PSNR; Strontium; MAP estimator; Super resolution; discrete cosine transform; restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6288121
Filename
6288121
Link To Document