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IEICE Electronics Express
Vol. 2 (2005) , No. 9 pp.316-320
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Blind deconvolution by using phase spectral constraints and natural gradient
Eiji Uchino1), Noriaki Suetake1) and Morihiko Sakano1)
1) Department of Physics, Biology and Informatics, Yamaguchi University
(Received: March 29, 2005)
(Accepted for publication: April 11, 2005)
Abstract:
A new natural gradient-based algorithm for a blind deconvolution of blurred images is proposed. In the proposed algorithm, phase spectral constraint condition is newly introduced, and a natural gradient descent method on an amplitude spectrum is applied. The effectiveness of the proposed algorithm is confirmed by comparing with the conventional method.
Keywords:
blind deconvolution, iterative method, cost function, modulo π phase, image restoration

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To cite this article:
Eiji Uchino, Noriaki Suetake and Morihiko Sakano, “Blind deconvolution by using phase spectral constraints and natural gradient”, IEICE Electron. Express, Vol. 2, No. 9, pp.316-320, (2005) .

doi:10.1587/elex.2.316
JOI  JST.JSTAGE/elex/2.316
Copyright (c) 2005 by The Institute of Electronics, Information and Communication Engineers



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