Improvement and Assessment of a Blind Image Deblurring Algorithm Based on Independent Component Analysis
نویسندگان
چکیده
The aim of the present paper is to improve an existing blind image deblurring algorithm, based on independent component learning paradigm, by manifold calculus. original technique analysis algorithm applied a set pseudo-images obtained Gabor-filtering blurred and adapt-and-project paradigm. A comparison between improved method shows that unit hypersphere Riemannian-gradient outperforms strategy. comprehensive numerical tests evidenced strengths weaknesses discussed technique.
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ژورنال
عنوان ژورنال: Computation (Basel)
سال: 2021
ISSN: ['2079-3197']
DOI: https://doi.org/10.3390/computation9070076