Title :
Multi-frame sparse aperture image restoration based on movable array
Author :
Wei Xiao-feng ; Geng Ze-xun ; Jiang Chao ; Shen Chen
Author_Institution :
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
Abstract :
The modulation transfer function of optical sparse aperture system is attenuated among the low and middle frequency band, which causes the degradation and blur. Aimed at this problem, the Annulus array with six apertures is studied. Firstly, a half of its sub-apertures are moved towards center to respectively acquire the multi-frame images that contain integrated information. Secondly, the move scales are determined via the cut-off frequency and mid-band energy ratio. Finally, image restoration is performed by multi-frame iterative blind deconvolution algorithm. The experimental result shows that the proposed method works well on the sparse aperture image restoration of Annulus array while the reconstruction accuracy has also been validated. Moreover, the design of relative sensor can be innovated by this method.
Keywords :
blind source separation; deconvolution; image restoration; iterative methods; optical images; transfer functions; Annulus array; cut-off frequency; frequency band attenuation; mid-band energy ratio; modulation transfer function; movable array; move scale; multiframe iterative blind deconvolution algorithm; multiframe sparse aperture image restoration; optical sparse aperture system; relative sensor; Artificial intelligence; Correlation; Deconvolution; Image resolution; Image restoration; image restoration; modulation transfer function; movable array; multi-frame blind deconvolution; optical sparse aperture;
Conference_Titel :
Computer Vision in Remote Sensing (CVRS), 2012 International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4673-1272-1
DOI :
10.1109/CVRS.2012.6421241