Asymmetric iterative blind deconvolution of multiframe images

Biggs, David S. C.; Andrews, Mark

doi:10.1117/12.325693

Cited by 20 publications

(27 citation statements)

References 12 publications

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“…During each cycle either the image or the PSF is held static while the other is updated, generally using one of the standard deconvolution technique. 7,13 In these methods, that alternate between restoration of the image and PSF, iterations do not necessarily have to use the same restoration algorithm. In this section, we describe briefly four recent blind deconvolution techniques stemming from these two different approaches.…”

Section: Blind Deconvolution Methodsmentioning

confidence: 99%

“…[5][6][7][8] Others are unregularized and require a termination criteria in order to stop the iterative procedure at the point where there is a balance between the fit to the image data and the amplification of the noise, inherent to this ill-posed inverse problem. [9][10][11][12][13] Nevertheless, let us note that these supervised deconvolution methods remain limited and sensitive to the assumption made on the nature of the blurring function. Theoretically, the PSF can be measured directly from the SPECT camera by visualizing the blurred result of a point source against a uniform background, but such experiment is generally difficult to obtain in practice and does not necessarily yield a reliable PSF.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery

Meunier

2002

J. Electron. Imaging

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Thanks to its ability to yield functionally rather than anatomically-based information, the single photon emission computed tomography (SPECT) imagery technique has become a great help in the diagnostic of cerebrovascular diseases which are the third most common cause of death in the USA and Europe. Nevertheless, SPECT images are very blurred and consequently their interpretation is difficult. In order to improve the spatial resolution of these images and then to facilitate their interpretation by the clinician, we propose to implement and to compare the effectiveness of different existing ''blind'' or ''supervised'' deconvolution methods. To this end, we present an accurate distribution mixture parameter estimation procedure which takes into account the diversity of the laws in the distribution mixture of a SPECT image. In our application, parameters of this distribution mixture are efficiently exploited in order to prevent overfitting of the noisy data for the iterative deconvolution techniques without regularization term, or to determine the exact support of the object to be restored when this one is needed. Recent blind deconvolution techniques such as the NAS-RIF algorithm, [D. Kundur and D. Hatzinakos, ''Blind image restoration via recursive filtering using deterministic constraints,'' in

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Section: Blind Deconvolution Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery

Meunier

2002

J. Electron. Imaging

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“…Therefore it is crucial to investigate the applicability of acceleration methods such as those proposed by Biggs & Andrews ([Big97], [BA98]). …”

Section: Discussionmentioning

confidence: 99%

“…if the object consists mainly of stars, then, as suggested by Biggs & Andrews ( [BA98]), the initial PSFs can be obtained from the autocorrelations of the observed images and are defined as follows:…”

Section: Chapter 10mentioning

confidence: 99%

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Large Binocular Telescope

Salinari¹

The Encyclopedia of Astronomy and Astrophysics

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Some of the new giant ground-bases telescopes will be equipped with interferometric systems, so that multiple images of the same target, corresponding to different orientations of the baseline, will be available. These interferometric images will need specific processing to provide a unique high resolution image of the target.In this thesis we consider the case of the Large Binocular Telescope (LBT) which is currently under construction on the top of Mount Graham in Arizona and will be equipped with a Fizeau interferometer with a baseline of 22.8m. From the point of view of image reconstruction, the interesting feature is that LINC/NIRVANA (the Fizeau interferometer for LBT) will require routinely the use of multiple image deconvolution methods to produce a unique image with the resolution of a 22.8m telescope.The aim of the thesis is to investigate the extension of existing reconstruction methods to the problem of multiple image deconvolution, to optimize their use and to propose and develop new methods in order to face problems not yet solved.In this sense we find out that two classes of deconvolution methods with different characteristics may be needed:-quick-look methods, computationally efficient even if not always very accurate, to be routinely used for a preliminary view of the target just after data acquisition; -ad hoc methods, designed for specific classes of astronomical objects, which can be computationally expensive but must be accurate as far as possible for all the objects in a given class.Therefore the processing of LINC/NIRVANA images will in general require two steps: the first, based on a quick-look method, is intended to identify the specific features of the particular object the astronomer is observing; the second consists in the use of the ad hoc method which has been designed for the objects with those specific features.In the case of quick-look methods we develop acceleration techniques of the OS-EM (Ordered Subsets Expectation Maximization) algorithm, allowing a reduction of the number of iterations without a significant increase of the computational cost per iteration. Moreover we investigate and implement the combination of the multi-images provided by LN into a single one to use single image deconvolution methods.For the second class of methods we propose and develop a method which is able to superresolve compact stellar objects such as a binary system with an angular separation smaller than the angular resolution of the telescope. Moreover we extend to the multiple image case a general approach, denoted as SGM (Split Gradient Method), and we use it for introducing a new method for the reconstruction of objects with a high dynamic range.All these methods are validated by means of extensive numerical simulations.Two general problems of image reconstruction are also investigated and solved. Indeed we propose a method for the reduction of the boundary effects (ripples) in the deconvolution of astronomical images. Moreover we develop a blind deconvolution method to be used when po...

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Enhanced Performance Metrics for Blind Image Restoration

Premaratne

Safaei

2005

Lecture Notes in Computer Science

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Asymmetric iterative blind deconvolution of multiframe images

Cited by 20 publications

References 12 publications

Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery

Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery

Large Binocular Telescope

Enhanced Performance Metrics for Blind Image Restoration

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