TY - GEN
T1 - A real-time second-order derivative-based image interpolation
AU - Uhm, Kwang Hyun
AU - Lee, Seung Jun
AU - Kang, Mun Cheon
AU - Chae, Sung Ho
AU - Ko, Sung Jea
N1 - Funding Information:
This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. B0101-15-0525, Development of global multi-target tracking and event prediction techniques based on real-time large-scale video analysis)
PY - 2016/3/10
Y1 - 2016/3/10
N2 - Curvature, the second-order directional derivative of an image, has been widely used for image interpolation. However, conventional curvature-based interpolation (CBI) methods employ a time-consuming post processing to reduce visual artifacts such as blurring and jagging caused by the inaccurate estimation of the local curvature. In this paper, a novel fast CBI method is proposed which can precisely estimate the local curvature using the geometric relationship between the curvatures of the low-resolution and high-resolution images. Experimental results show that the proposed method is not only robust to visual artifacts even without any post processing, but also about 40 times faster than the conventional CBI method, making it applicable to consumer electronics.
AB - Curvature, the second-order directional derivative of an image, has been widely used for image interpolation. However, conventional curvature-based interpolation (CBI) methods employ a time-consuming post processing to reduce visual artifacts such as blurring and jagging caused by the inaccurate estimation of the local curvature. In this paper, a novel fast CBI method is proposed which can precisely estimate the local curvature using the geometric relationship between the curvatures of the low-resolution and high-resolution images. Experimental results show that the proposed method is not only robust to visual artifacts even without any post processing, but also about 40 times faster than the conventional CBI method, making it applicable to consumer electronics.
UR - http://www.scopus.com/inward/record.url?scp=84965156954&partnerID=8YFLogxK
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U2 - 10.1109/ICCE.2016.7430679
DO - 10.1109/ICCE.2016.7430679
M3 - Conference contribution
AN - SCOPUS:84965156954
T3 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
SP - 433
EP - 434
BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016
A2 - Bellido, Francisco J.
A2 - Diaz-Sanchez, Daniel
A2 - Vun, Nicholas C. H.
A2 - Dolar, Carsten
A2 - Ling, Wing-Kuen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Consumer Electronics, ICCE 2016
Y2 - 7 January 2016 through 11 January 2016
ER -