Realizing super-resolution with a directional anisotropic correlation model

Authors:
Kyle Xiang Zhang;Yuk-Hee Chan;Wan-Chi Siu
Affiliations:
Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong;Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong;Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

This paper presents a directional anisotropic correlation model for super resolution reconstruction. A local adaptive correlation model is formed by exploiting local edge direction and anisotropic characteristic. For a local region with presence of edge or texture, a directional anisotropic correlation model is suitable to describe the local correlation while the correlation model tends to be more isotropic for a smoother region. A super resolution algorithm is proposed based on the proposed adaptive correlation model. Experiment shows that with the suggested correlation model the proposed algorithm is able to provide a good reconstruction result.