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 proceedingConference 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 languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics, ICCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages433-434
Number of pages2
ISBN (Print)9781467383646
DOIs
Publication statusPublished - 2016 Mar 10
EventIEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States
Duration: 2016 Jan 72016 Jan 11

Other

OtherIEEE International Conference on Consumer Electronics, ICCE 2016
CountryUnited States
CityLas Vegas
Period16/1/716/1/11

Fingerprint

Interpolation
Derivatives
Consumer electronics
Optical resolving power
Image resolution
Processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 433-434). [7430679] 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; Chae, Sung Ho; Ko, Sung-Jea.

2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 433-434 7430679.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Uhm, KH, Lee, SJ, Kang, MC, Chae, SH & Ko, S-J 2016, A real-time second-order derivative-based image interpolation. in 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430679, 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 S-J. A real-time second-order derivative-based image interpolation. In 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 433-434. 7430679 https://doi.org/10.1109/ICCE.2016.7430679
Uhm, Kwang Hyun ; Lee, Seung Jun ; Kang, Mun Cheon ; Chae, Sung Ho ; Ko, Sung-Jea. / A real-time second-order derivative-based image interpolation. 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 433-434
@inproceedings{258fc0934fff4952a633cf280a583cb5,
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 Sung-Jea Ko",
year = "2016",
month = "3",
day = "10",
doi = "10.1109/ICCE.2016.7430679",
language = "English",
isbn = "9781467383646",
pages = "433--434",
booktitle = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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

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

UR - http://www.scopus.com/inward/citedby.url?scp=84965156954&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2016.7430679

DO - 10.1109/ICCE.2016.7430679

M3 - Conference contribution

AN - SCOPUS:84965156954

SN - 9781467383646

SP - 433

EP - 434

BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -