2009
DOI: 10.1016/j.chinastron.2009.03.004
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Adaptive Optics Image Restoration Based on Frame Selection and Multi-frame Blind Deconvolution

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Cited by 6 publications
(4 citation statements)
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“…Each frame was processed with the flat and dark correction first, then a Wiener filter was used to deconvolute the frames with the point spread function (PSF) of the NBI system, which was measured by a point source. image-restoration process based on frame selection and multiframes blind deconvolution (Yu, Chang-hui, and Kai, 2009) was applied to the frames. One frame of the object imaged at each wavelength was obtained after the processing.…”
Section: Data Processing and First Resultsmentioning
confidence: 99%
“…Each frame was processed with the flat and dark correction first, then a Wiener filter was used to deconvolute the frames with the point spread function (PSF) of the NBI system, which was measured by a point source. image-restoration process based on frame selection and multiframes blind deconvolution (Yu, Chang-hui, and Kai, 2009) was applied to the frames. One frame of the object imaged at each wavelength was obtained after the processing.…”
Section: Data Processing and First Resultsmentioning
confidence: 99%
“…. , g M } are obtained with frame selection technique [17], then the initial object image iŝ Step 4: If j > MaxIteration, then output object estimate imagef and PSF estimationĥ, and end the algorithm; otherwise go to Step 3. In our method, parameter settings is based on the irace package [21].…”
Section: Algorithm 1 Steps For Our Proposed Algorithmmentioning
confidence: 99%
“…A single-channel blind deconvolution method [16] is proposed by Ayers et al, which is more complicated than the classical deconvolution problem. In order to handle the ill-posed nature of blind deconvolution to a great extent of considering multiple images, Tian et al presented another multiframe restoration algorithm based on the frame selection techiques [17]. Approaches based on improved expectation maximization for AO image restoration was proposed in [18].…”
Section: Introductionmentioning
confidence: 99%
“…Because observations are generally continuous within the generated time of many short exposure AO images, multiframe blind deconvolution algorithms have received more and more attention, which recovers fixed latent objects and corresponding PSFs from multiple observations simultaneously. Löfdahl (2002) proposed multiframe blind deconvolution with linear equality constraints and Yu et al (2009) proposed multiframe blind deconvolution based on frame selection.…”
Section: Introductionmentioning
confidence: 99%