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

13 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

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

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