Seminar on Unified Tight Frame Approach
for Missing Data Recovery in Images
Prof. Chan is the Associate Dean of Science (Research) and Chair
Professor in the Department of Mathematics of The Chinese University
of Hong Kong. He had published more than 80 journals papers and
served on various editorial boards. His research interests included
numerical linear algebra, scientific computing and image processing.
In this talk, he discussed the new iterative algorithm for image
recovery for missing data which was based on spline tight framelets.
Two main applications of the algorithm were addressed, namely impulse
noise removal and super-resolution image reconstruction.
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Left - Professor
Chan, CUHK |
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