New edge-adaptive image interpolation using anisotropic Gaussian filters

Jong Woo Han, Suryanto, Jun Hyung Kim, Sanghoon Sull, Sung-Jea Ko

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Edge-adaptive interpolation is an effective technique to obtain a sharp high-resolution (HR) image from a low-resolution (LR) image. In this paper, we propose a new image interpolation method using edge-adaptive anisotropic Gaussian filters (AGFs). In the proposed method, the edge information of the LR image, which is the edge orientation and its energy, is first estimated using the modified Leung-Malik (LM) filter bank. Then, the edge information of the LR image is converted into that of the HR image by using a mapping function. Based on the HR edge information, edge-adaptive interpolation is performed using the AGF with variable shape and direction. Simulation results show that the proposed method objectively and subjectively outperforms conventional edge-based methods.

Original languageEnglish
Pages (from-to)110-117
Number of pages8
JournalDigital Signal Processing: A Review Journal
Issue number1
Publication statusPublished - 2013 Jan

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012R1A2A4A01008384).


  • Anisotropic Gaussian filter
  • Edge-based interpolation
  • Image interpolation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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