A real-time second-order derivative-based image interpolation

Kwang Hyun Uhm; Seung Jun Lee; Mun Cheon Kang; Sung Ho Chae; Sung Jea Ko

doi:10.1109/ICCE.2016.7430679

A real-time second-order derivative-based image interpolation

Kwang Hyun Uhm, Seung Jun Lee, Mun Cheon Kang, Sung Ho Chae, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Editors	Francisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	433-434
Number of pages	2
ISBN (Electronic)	9781467383646
DOIs	https://doi.org/10.1109/ICCE.2016.7430679
Publication status	Published - 2016 Mar 10
Event	IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States Duration: 2016 Jan 7 → 2016 Jan 11

Publication series

Name	2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Other

Other	IEEE International Conference on Consumer Electronics, ICCE 2016
Country/Territory	United States
City	Las Vegas
Period	16/1/7 → 16/1/11

Bibliographical note

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)

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/ICCE.2016.7430679

Cite this

Uhm, K. H., Lee, S. J., Kang, M. C., Chae, S. H., & Ko, S. J. (2016). A real-time second-order derivative-based image interpolation. In F. J. Bellido, D. Diaz-Sanchez, N. C. H. Vun, C. Dolar, & W.-K. Ling (Eds.), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 433-434). Article 7430679 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2016.7430679

A real-time second-order derivative-based image interpolation. / Uhm, Kwang Hyun; Lee, Seung Jun; Kang, Mun Cheon et al.
2016 IEEE International Conference on Consumer Electronics, ICCE 2016. ed. / Francisco J. Bellido; Daniel Diaz-Sanchez; Nicholas C. H. Vun; Carsten Dolar; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. p. 433-434 7430679 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Uhm, KH, Lee, SJ, Kang, MC, Chae, SH & Ko, SJ 2016, A real-time second-order derivative-based image interpolation. in FJ Bellido, D Diaz-Sanchez, NCH Vun, C Dolar & W-K Ling (eds), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430679, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 433-434, IEEE International Conference on Consumer Electronics, ICCE 2016, Las Vegas, United States, 16/1/7. https://doi.org/10.1109/ICCE.2016.7430679

Uhm KH, Lee SJ, Kang MC, Chae SH, Ko SJ. A real-time second-order derivative-based image interpolation. In Bellido FJ, Diaz-Sanchez D, Vun NCH, Dolar C, Ling WK, editors, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 433-434. 7430679. (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). doi: 10.1109/ICCE.2016.7430679

Uhm, Kwang Hyun ; Lee, Seung Jun ; Kang, Mun Cheon et al. / A real-time second-order derivative-based image interpolation. 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. editor / Francisco J. Bellido ; Daniel Diaz-Sanchez ; Nicholas C. H. Vun ; Carsten Dolar ; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 433-434 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

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title = "A real-time second-order derivative-based image interpolation",

abstract = "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.",

author = "Uhm, {Kwang Hyun} and Lee, {Seung Jun} and Kang, {Mun Cheon} and Chae, {Sung Ho} and Ko, {Sung Jea}",

note = "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); IEEE International Conference on Consumer Electronics, ICCE 2016 ; Conference date: 07-01-2016 Through 11-01-2016",

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PY - 2016/3/10

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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.

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A real-time second-order derivative-based image interpolation

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