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Edge-Oriented Two-Step Interpolation Based on Training Set

Authors
Lee, Ji-HoonKim, Jong-OkHan, Jong-WooChoi, Kang-SunKo, Sung-Jea
Issue Date
8월-2010
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Image Interpolation; Edge-Oriented; Training Set; Edge Map
Citation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.56, no.3, pp.1848 - 1855
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume
56
Number
3
Start Page
1848
End Page
1855
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/116001
DOI
10.1109/TCE.2010.5606336
ISSN
0098-3063
Abstract
Preserving the sharpness of edge structures is highly challenging to image interpolation. In this paper, we propose an edge-oriented two-step interpolation method that utilizes an edge training set. For edge interpolation, the LR edge map is converted into the HR edge map by using the training set. Then, an image is classified into smooth and edge regions using the HR edge map, and both regions are interpolated separately. For edge regions, adaptive edge-oriented interpolation is performed by using the detailed edge structures learned from training. The proposed method is extensively evaluated, and its performance is compared with the conventional edge-based methods. Experimental results show that the proposed method can not only reconstruct the missed edge information by the training set, but also significantly reduce blurring and jagging artifacts around edges by separately interpolating smooth and edge regions(1).
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