Phase Estimation Based Blind Deconvolution for Turbulence Degraded Images
The resolution of space object images observed by ground-based telescope is greatly limited due to the influence of atmospheric turbulence.An improved blind deconvolution method is presented to enhance the performance of turbulence degraded images restoration.Firstly,a mixed noise model based blind deconvolution cost function is deduced under Gaussian and Poisson noise contamination of measurement.Then,point spread function (PSF) is described by wavefront phase aberrations in the pupil plane according to Fourier Optics theory.In this way,the estimation of PSF is generated from the wavefront phase parameterization instead of pixel domain value.Lastly,the cost function is converted from constrained optimization problem to nonconstrained optimization problem by means of parameterization of object image and PSF.Experimental results show that the proposed method can recover high quality image from turbulence degraded images effectively.
Turbulence degraded images Blind deconvolution Mixed noise model Wavefront phase Point spread function
Afeng YANG Min LU Shuhua TENG Jixiang SUN
School of Electronic Science and Engineering,National University of Defense Technology
国际会议
西安
英文
273-276
2013-09-14（万方平台首次上网日期，不代表论文的发表时间）