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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288121
