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Author Kato, Masanori ♦ Yamada, Isao ♦ Sakaniwa, Kohichi ♦ That, Hatzinakos Showed
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Hybrid Steepest Descent Method ♦ Set-theoretic Blind Image Deconvolution ♦ Numerical Comparison ♦ Parallel Projection ♦ Convex Set ♦ Convex Projection Technique ♦ Standard Set-theoretic Scheme ♦ Cost Unction ♦ Steepest Descent Method
Abstract this paper, we propose a new set-theoretic blind image deconvolution scheme based on a recently developed convex projection technique called Hybrid Steepest Descent Method (HSDM), where some partial in ormation can be utilized set-theoretically by parallel projections onto convex sets while the others are incorporated in a cost unction to be minimized by a steepest descent method. Numerical comparisons with the standard set-theoretic scheme based on POCS illustrate the e#ectiveness o the proposed scheme.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 1999-01-01