Fast iterative methods for high-resolution multispectral image restorations


Grant Data
Project Title
Fast iterative methods for high-resolution multispectral image restorations
Principal Investigator
Dr Ng, Kwok Po   (Principal investigator)
Co-Investigator(s)
Professor Chan Raymond Hon Fu   (Co-Investigator)
Duration
36
Start Date
1999-09-01
Completion Date
2002-08-31
Amount
573000
Conference Title
Presentation Title
Sponsor
RGC General Research Fund (GRF)
HKU Project Code
HKU 7147/99P
Grant Type
General Research Fund (GRF)
Funding Year
1999/2000
Status
Completed
Objectives
High-resolution color/multispectral image restoration problems arise in a variety of scientific, medical and engineering applications: from the daily-life TV broadcasting to the sophisticated satellite remote sensing. The problem is to reconstruct high-resolution images from low-resolution frames. The resulting linear systems are usually Toeplitz-like systems. This research is centered on the development of fast iterative methods for such systems. For single-spectral (i.e. gray-level) images, we have solved the systems by the preconditioned conjugate gradient method with cosine transform-based preconditioners and the method is faster than any existing ones. The purpose of this research is to develop and implement this fast iterative method for color/multispectral image restorations; and to establish theoretically the convergence rate of the method.