Metin Gunsay

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The problem of removing blur from, or sharpening, astronomical star field intensity images is discussed. An approach to image restoration that recovers image detail using a constrained optimization theoretic approach is introduced. Ideal star images may be modeled as a few point sources in a uniform background. It is argued that a direct measure of image(More)
We address the problem of resolving and localizing blurred point sources in intensity images. Telescopic star-field images blurred by atmospheric turbulence or optical aberrations are typical examples of this class of images, a new approach to image restoration is introduced, which is a generalization of 2-D sensor array processing techniques originating(More)
In this paper we address the problem of redving blurred point sources in intensity images. A new approach to image restoration is introduced which is a 2-D generalization uf techniques originating from the field of direction of arrival estimation (DOA). I n the 2-D frequency domain. algorithms, such as MUSIC. may be adapted to search for these point(More)
This paper addresses the problem of resolving and localizing blurred point sources in intensity images, such as atmospherically blurred star images. It is shown that this problem can be modeled in a form similar to that used for sensor array data in direction of arrival (DOA) estimation. A new superresolving restoration algorithm is described as a(More)
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