Dr Chan has published over 160 research papers in various international journals and conferences. His research interests include image and video compression, image restoration, and fast computational algorithms in DSP. Dr Chan is a member of IEEE. He obtained the Sir Edward Youde Memorial Fellowship in 1991 and 1992.
Dr Chan was the Chair of IEEE Hong Kong Section in 2015 and is currently Treasurer of Asia-Pacific Signal and Information Processing Association (APSIPA) Headquarters.
Research highlights:
Halftoning: Dr Chan and his team proposed a universal noise model for defining the optimal noise characteristics of a halftone. Based on the model, various halftoning algorithms were developed to satisfy different constraints for different applications. All of them can produce image hard copies of the best quality as compared with conventional algorithms in terms of various measures in different application scenarios. One of the most useful and unique features that these algorithms can achieve is that they can control the noise spectrum of their outputs and preserve the spatial features of the input in their outputs simultaneously.
Information embedding: Through various noise manipulation techniques, the team embed different information in images to achieve different goals for different applications. Some recent successful trials including scalable image presentation, image watermarking, reversible color-to-grayscale conversion and colorblind friendly printing.
Fringe Projection Profilometry: Various contributions have been made to significantly improve the accuracy in 3D surface measurement. The team was the first group to propose octa-level fringe patterns and get rid of the harmonic distortion introduced by periodic fringe patterns. This allows to realize real-time measurement and improve the measuring accuracy.
