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Restoration of turbulence degraded images using improved multi-frame blind deconvolution algorithm

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4 Author(s)
B. Li ; State Educ. Comm. Lab. for Image Process. & Intelligent Control, Huazhong Univ. of Sci. & Technol., Wuhan, China ; Z. Cao ; N. Sang ; T. Zhang

For the restoration of astronomical objects which are degraded mainly by turbulence, an improved multi-frame blind deconvolution method using the generalised expectation-maximisation (GEM) on the basis of the penalised maximum-likelihood estimation method is presented. Experimental results indicate that this method has better performance and costs less time.

Published in:

Electronics Letters  (Volume:40 ,  Issue: 23 )