Title :
Restoration of turbulence degraded images using improved multi-frame blind deconvolution algorithm
Author :
Li, B. ; Cao, Z. ; Sang, N. ; Zhang, T.
Author_Institution :
State Educ. Comm. Lab. for Image Process. & Intelligent Control, Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
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.
Keywords :
astronomy computing; deconvolution; image restoration; maximum likelihood estimation; object detection; optimisation; astronomical objects; generalised expectation-maximisation; image restoration; improved multiframe blind deconvolution algorithm; penalised maximum likelihood estimation; turbulence degraded images;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20046552
