An edge-guided image interpolation method using Taylor series approximation

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

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

In this paper, a novel real-Time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first-and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity1.

Original languageEnglish
Article number7514715
Pages (from-to)159-165
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Volume62
Issue number2
DOIs
Publication statusPublished - 2016 May 1

Fingerprint

Taylor series
Interpolation
Image resolution
Image quality
Pixels
Derivatives
Geometry

Keywords

  • directional derivatives
  • edge-guided interpolation
  • Image interpolation
  • Taylor series approximation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

Cite this

An edge-guided image interpolation method using Taylor series approximation. / Lee, Seung Jun; Kang, Mun Cheon; Uhm, Kwang Hyun; Ko, Sung-Jea.

In: IEEE Transactions on Consumer Electronics, Vol. 62, No. 2, 7514715, 01.05.2016, p. 159-165.

Research output: Contribution to journalArticle

Lee, Seung Jun ; Kang, Mun Cheon ; Uhm, Kwang Hyun ; Ko, Sung-Jea. / An edge-guided image interpolation method using Taylor series approximation. In: IEEE Transactions on Consumer Electronics. 2016 ; Vol. 62, No. 2. pp. 159-165.
@article{2402eeb6b44643f88f17ceb38acac39a,
title = "An edge-guided image interpolation method using Taylor series approximation",
abstract = "In this paper, a novel real-Time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first-and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity1.",
keywords = "directional derivatives, edge-guided interpolation, Image interpolation, Taylor series approximation",
author = "Lee, {Seung Jun} and Kang, {Mun Cheon} and Uhm, {Kwang Hyun} and Sung-Jea Ko",
year = "2016",
month = "5",
day = "1",
doi = "10.1109/TCE.2016.7514715",
language = "English",
volume = "62",
pages = "159--165",
journal = "IEEE Transactions on Consumer Electronics",
issn = "0098-3063",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

TY - JOUR

T1 - An edge-guided image interpolation method using Taylor series approximation

AU - Lee, Seung Jun

AU - Kang, Mun Cheon

AU - Uhm, Kwang Hyun

AU - Ko, Sung-Jea

PY - 2016/5/1

Y1 - 2016/5/1

N2 - In this paper, a novel real-Time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first-and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity1.

AB - In this paper, a novel real-Time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first-and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity1.

KW - directional derivatives

KW - edge-guided interpolation

KW - Image interpolation

KW - Taylor series approximation

UR - http://www.scopus.com/inward/record.url?scp=84979603376&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84979603376&partnerID=8YFLogxK

U2 - 10.1109/TCE.2016.7514715

DO - 10.1109/TCE.2016.7514715

M3 - Article

AN - SCOPUS:84979603376

VL - 62

SP - 159

EP - 165

JO - IEEE Transactions on Consumer Electronics

JF - IEEE Transactions on Consumer Electronics

SN - 0098-3063

IS - 2

M1 - 7514715

ER -