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Approaches to convergence enhancement of multiframe blind deconvolution of astronomical images

Cheng Wei-Dong Wang Li Luo Lin Shen Mang-Zuo

Approaches to convergence enhancement of multiframe blind deconvolution of astronomical images

Cheng Wei-Dong, Wang Li, Luo Lin, Shen Mang-Zuo
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  • PDF Downloads:  2157
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Publishing process
  • Received Date:  20 April 2006
  • Accepted Date:  01 August 2006
  • Published Online:  05 June 2006

Approaches to convergence enhancement of multiframe blind deconvolution of astronomical images

  • 1. (1)成都信息工程学院,成都 610041; (2)西南交通大学理学院,成都 610031; (3)西南交通大学理学院,成都 610031;中国科学院光电技术研究所微细加工光学技术国家重点实验室,成都 610209;成都信息工程学院,成都 610041; (4)中国科学院光电技术研究所微细加工光学技术国家重点实验室,成都 610209

Abstract: The convergence property of multiframe blind deconvolution applied to improve the resolution of astronomical images is influenced by initial object estimate, constraint conditions and photon noise. A method of determining band limitation of the point-spread function from the optical imaging system parameters is proposed. The initial object estimate of blind deconvolution algorithm is formed by using Knox-Thompson method to reconstruct object phase from short-exposure images. A novel method,which is used to decrease photon noise, edge effects and ringing of restoration images is developed. An improved multiframe blind deconvolution algorithm with a strict constrained optimization method of the expectation-maximization based on maximum-likelihood estimation is presented. The restored images of the simulation data,and real Mars and solar-granulation data show that the proposed multiframe blind deconvolution algorithm is valid for overcoming effects of atmospheric turbulence and photon noise and improving the resolution of real observed astronomical images, and capabel of partly removing th diffraction effect of optical system on restored images.

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