Sunday 24th of September 2017
 

Image Compression using Phase Diversity of Synthesis Filters


Abdul Nadeem and Yangyu Fan

This paper presents enhancement of image reconstruction by comprehensively exploiting the phase diversity of adaptive synthesis filter bank. A novel approach of selection of synthesis delay filters in various reconstruction groups and possible placing configurations of optimal groups in adaptive synthesis filter bank have been explored. In contrast with linear phase synthesis filters, synthesis section is built with a set of filters, where each filter has different phase characteristics. Such adaptive formation of synthesis filter bank when employed in image compression shows optimal improvements in MSE/ PSNR over conventional filter bank.

Keywords: Synthesis delay filters; reconstruction groups; phase diversity; placing configuration.

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ABOUT THE AUTHORS

Abdul Nadeem
Abdul Nadeem received his B.Sc and M.Sc degrees, both with honors in electrical engineering from University of Engineering and Technology, Taxila in 2000 and 2005 respectively. He is currently doing his Ph.D from School of Electronics and Information, Northwestern Polytechnical University. His interests include multirate filter banks, wavelets and their applications in image and video compression.

Yangyu Fan
Yangyu Fan received his Ph.D. from School of Marine Engineering, Northwestern Polytechnical University in December 1999. He is currently a Professor at the School of Electronics and Information of the University and the head of Multimedia & Virtual Reality Laboratory, the Institute of Signal Processing & Wireless optical Communications. He has published more than 230 papers in various journals and conferences, got 4 invent patents. His research interests include Image Processing, Signal Processing, Virtual Reality, Pattern Recognition and Wireless Optical Communications. He is a member of the Information Processing Branch Association and the DSP Branch Association of China Electronics Society, one of the principals of the Shaanxi Signal Processing Society.


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