Deconvolutional filter design for image restoration

Deconvolutional filter design for image restoration

This thesis presents a novel blind image deconvolution (or restoration) system, which comprises a modified Maximum Likelihood (ML) blur identification, a Reduced Order Model (ROM) Kalman restoration filter and two post-restoration image improvement techniques.

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Bibliographic Details
Main Author: Chee, Yew Kun
Other Authors: Soh, Yeng Chai
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/3449
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Institution: Nanyang Technological University
Description
Summary:This thesis presents a novel blind image deconvolution (or restoration) system, which comprises a modified Maximum Likelihood (ML) blur identification, a Reduced Order Model (ROM) Kalman restoration filter and two post-restoration image improvement techniques.

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