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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2009, Vol. 10 Issue (12): 1705-1713    DOI: 10.1631/jzus.A0920013
Multimedia and Mobile Communication     
A maximum a posteriori super resolution algorithm based on multidimensional Lorentzian distribution
Wen CHEN, Xiang-zhong FANG, Yan CHENG
Shanghai Key Lab of Digital Media Processing and Transmissions, Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, China; College of Information Technology, East China University of Political Science and Law, Shanghai 201620, China
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Abstract  This paper presents a threshold-free maximum a posteriori (MAP) super resolution (SR) algorithm to reconstruct high resolution (HR) images with sharp edges. The joint distribution of directional edge images is modeled as a multidimensional Lorentzian (MDL) function and regarded as a new image prior. This model makes full use of gradient information to restrict the solution space and yields an edge-preserving SR algorithm. The Lorentzian parameters in the cost function are replaced with a tunable variable, and graduated nonconvexity (GNC) optimization is used to guarantee that the proposed multidimensional Lorentzian SR (MDLSR) algorithm converges to the global minimum. Simulation results show the effectiveness of the MDLSR algorithm as well as its superiority over conventional SR methods.

Key wordsEdge preservation      Multidimensional Lorentzian distribution (MDL)      Super resolution      Threshold     
Received: 06 January 2009     
CLC:  TN911.73  
Cite this article:

Wen CHEN, Xiang-zhong FANG, Yan CHENG. A maximum a posteriori super resolution algorithm based on multidimensional Lorentzian distribution. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(12): 1705-1713.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0920013     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2009/V10/I12/1705

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