Fast iterative methods for high-resolution multispectral image restorations

Professor Ng, Kwok Po   (Principal Investigator (PI))

Professor Chan Raymond Hon Fu   (Co-Investigator)

36

1999-09-01

573000

Fast iterative methods for high-resolution multispectral image restorations

null

N/A

HKU 7147/99P

General Research Fund (GRF)

1999

Completed

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.