Deconvolutional filter design for image restoration
Chee, Yew Kun
Date of Issue2002
School of Electrical and Electronic Engineering
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.
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Nanyang Technological University