Computer Science
Scientific paper
May 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010spie.7654e...4z&link_type=abstract
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes. Edited by
Computer Science
Scientific paper
Phased telescope array, also known as Fizeau interferometer or optical sparse aperture imaging system, collects the beams of each sub-telescope and forms a picture of the object. Due to the decrease in area of collecting light, compared with equivalent diameter telescope, the contrast of phased telescope array in middle and high frequency is low, but both of the phased telescope array and equivalent diameter telescope almost have the same cut off frequency. Therefore a high resolution and clear picture can be restored by post-processing of the blurred picture. There are several methods of postprocessing, nearly all of which are going to deconvolve the blurred picture. Most deconvolution methods are in need of practical point spread function (PSF) or optical transfer function (OTF). However, it is usually hard to obtain a practical PSF or OTF due to the large aperture diameter of system. Even though the practical PSF or OTF can be obtained, the cost for this implementation will be very high for a space-based telescope. Fortunately, the blind deconvolution based on total variation (TV) provides the possibility to avoid this situation, because the TV blind deconvolution is less dependent on practical PSF or OTF, even without any prior knowledge and will preserve the edge information of image. The TV blind deconvolution has achieved great success in many fields and has been studied for decades. However, due to the complexity of PSF, the TV blind deconvolution has not been used in phased telescope array. In this paper, we have investigated the validation of TV blind deconvolution in phased telescope array, and reveals that the TV blind deconvolution is effective in image restoration.
Wan Yuhong
Wang Dayong
Wang Yunxin
Zhou Zhiwei
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