NDLI: Blurs and perfect image restoration

Content Provider	IEEE Xplore Digital Library
Author	Giannakis, G.B. Heath Jr., R.W.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA (Giannakis, G.B.)
Abstract	Despite its practical importance in image processing and computer vision, blind blur identification and restoration has so far been addressed under restrictive assumptions such as all-pole stationary image models blurred by zero-or minimum-phase PSFs. Relying upon diversity (sufficient number of multiple blurred images), we develop blind FIR blur identification and order determination schemes. Apart from a minimal persistence of excitation condition (also present with non-blind setups), the inaccessible input is allowed to be deterministic or random and of unknown color or distribution. With the blurs also satisfying a certain co-primeness condition, we establish existence and uniqueness results which guarantee that single-input/multiple-output FIR blurred images can be restored perfectly but blindly using linear FIR filters. The resulting direct blind restoration filters by-pass the blur identification step and work well in higher SNRs. In lower SNRs better results are achieved by first identifying the blurs and then constructing the MMSE solution.
Starting Page	717
Ending Page	720
File Size	467311
Page Count	4
File Format	PDF
ISBN	0780332598
DOI	10.1109/ICIP.1996.559599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-19
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Finite impulse response filter Image restoration Integrated circuit noise Integrated circuit modeling Image processing Computer vision Motion estimation State estimation Electron microscopy Inverse problems
Content Type	Text
Resource Type	Article

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