A second-order derivative-based edge preserving image interpolation

Jong Hwan Kim, Seung Jun Lee, Min Young Cho, Yeo Jin Yoon, Sung-Jea Ko

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

1 Citation (Scopus)


It is a challenging work to reproduce the high resolution image from the low resolution input while preserving edge structures without causing visual artifacts such as blurring, ringing and jagging. In this paper, we propose an edge guided interpolation method exploiting a data fusion strategy, which interpolates a missing pixel by a weighted sum of directional data estimates for two orthogonal directions. Firstly, each directional data estimate is calculated by 1-D bicubic method along the corresponding direction. Then, we employ the curvature, the second-order directional derivative, to obtain the weights for data fusion. The curvature of the missing pixel decreases as the direction of the curvature is closer to the edge orientation. Experimental results show that the proposed method does not only require the lower computational complexity but also perform better in terms of both subjective and objective visual quality as compared with the state of the art image interpolation algorithms.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Print)9781479975426
Publication statusPublished - 2015 Mar 23
Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
Duration: 2015 Jan 92015 Jan 12


Other2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Country/TerritoryUnited States
CityLas Vegas

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering


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