Title :
Super-resolution image reconstruction employing Kriging interpolation technique
Author :
Panagiotopoulou, A. ; Anastassopoulos, V.
Author_Institution :
Patras Univ., Patras
Abstract :
In this paper a high-resolution (MR) image is reconstructed from a sequence of subpixel shifted, aliased low-resolution (LR) frames by means of a novel nonuniform interpolation super-resolution (SR) method. A gradient-based algorithm estimates the horizontal and vertical shifts for each frame. Then, the uniformly spaced sampling points of the UK image are produced by means of Kriging interpolation. Wiener filtering is employed to deal with the restoration problem. The novelty of the proposed nonuniform interpolation approach to SR image reconstruction lies in the employment of Kriging interpolation technique. Comparisons with the original image demonstrate the superiority of our method to a conventional nonuniform interpolation one of SR image reconstruction.
Keywords :
Wiener filters; filtering theory; gradient methods; image reconstruction; image resolution; image sampling; interpolation; Kriging interpolation technique; Wiener filtering; gradient-based algorithm; image restoration; image sampling; super-resolution image reconstruction; Employment; Image reconstruction; Image resolution; Image restoration; Image sampling; Interpolation; Signal processing algorithms; Signal resolution; Strontium; Wiener filter; Aliasing; Kriging interpolation; Subpixel shift; Super-resolution; Wiener filter;
Conference_Titel :
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location :
Maribor
Print_ISBN :
978-961-248-029-5
Electronic_ISBN :
978-961-248-029-5
DOI :
10.1109/IWSSIP.2007.4381174