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Research articles

ScienceAsia 40 (2014): 168-174 |doi: 10.2306/scienceasia1513-1874.2014.40.168

Image interpolation based on nonlocal self-similarity

Qiang Guoa,b,c,*, Caiming Zhanga,b,c, Qian Liuc, Yunfeng Zhanga,b, Xiaohong Shena,b

ABSTRACT:     This paper presents an efficient method for the resolution enhancement of low resolution (LR) images. Inspired by the great success of nonlocal filtering, the proposed method interpolates a missing pixel by a nonlocal estimation which takes into account the self-similarity of images and the geometric duality between LR images and high resolution (HR) images. This method firstly exploits the SAI method to generate an initial HR image of the given LR image. Then the initial HR image is further improved by a nonlocal estimation that uses the given LR image as a guiding image. Pixel correction is applied to reduce the distortion of the HR estimate. Experimental results demonstrate that the proposed method provides competitive performance.

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a School of Computer Science and Technology, Shandong University of Finance and Economics, East Erhuan Road, Jinan, 250014, China
b Shandong Provincial Key Laboratory of Digital Media Technology, East Erhuan Road, Jinan, 250014, China
c School of Computer Science and Technology, Shandong University, Shunhua Road, Jinan, 250101, China

* Corresponding author, E-mail: qguo2010@126.com

Received 30 Jan 2013, Accepted 27 Dec 2013