学术报告第201722期

报告题目：Single Frame Image Super Resolution: A Fuzzy Rule Based Approach

报 告 人：Nikhil R. Pal教授（Indian Statistical Institute, Calcutta, India）

报告时间：2017年5月26日14：30

报告地点：东九楼D514

Abstract: Image zooming is a very well-studied and important problem in computer vision. Many methods have been developed that use multiple low resolution (LR) image frames of the same scene with different sub-pixel shifts as input to create high resolution (HR) images. There are other approaches, called single frame super resolution (SR) methods, that use just one LR image to obtain the HR image. Each approach has its advantages and limitations. For this problem, although different machine learning tools have been used, the power of fuzzy systems has not been explored much.  In this talk I shall discuss a novel fuzzy rule based single frame super resolution method. This is a patch based method, where each LR patch is replaced by a HR patch generated by a Takagi-Sugeno type fuzzy system. I shall discuss in details the creation of training data, the generation of an initial fuzzy rule base, its refinement and how this rule base can be used for generation of SR images. To demonstrate the effectiveness of the fuzzy system, I shall compare its performance with six other methods in terms of several quality criteria. A few avenues for further improvement and extension will also be discussed.

Biosketch: Nikhil R. Pal (www.isical.ac.in/~nikhil) is a Professor with the Electronics and Communication Sciences Unit of Indian Statistical Institute, Calcutta. He has served as a Chair Professor of the National Chiao-Tung University, Taiwan, and a Visiting Professor of RIKEN Brain Science Institute, Japan and the University of West Florida, USA.  He has given many plenary/keynote speeches in different premier international conferences in the area of computational intelligence.

He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems for the period 2005- 2010. He has served/been serving on the editorial /advisory board/ steering committee  of several  journals including the International Journal of Approximate Reasoning, Applied Soft Computing,  Neural Information Processing—Letters and Reviews, International Journal of Knowledge-Based Intelligent Engineering Systems, International Journal of Neural Systems, Fuzzy Sets and Systems ,International Journal of Intelligent Computing in Medical Sciences and Image Processing, Fuzzy Information and Engineering : An International Journal,  IEEE Transactions on Fuzzy Systems and the IEEE Transactions Cybernetics.

He is a recipient of the Fuzzy Systems Pioneer Award, 2015 given by the IEEE Computational Intelligence Society (CIS). He is the President-Elect 2017 of the IEEE Computational Intelligence Society. He is a Distinguished Lecturer of the IEEE Computational Intelligence Society (2010-2012, 2016-2018). He was the Vice President for Publications (2013-2016) of the IEEE CIS.

He is a Fellow of the National Academy of Sciences, India, Indian National Academy of Engineering, Indian National Science Academy, International Fuzzy Systems Association (IFSA), the World Academy of Sciences (FTWAS), and a Fellow of the IEEE, USA.