A fast noise-robust interpolation method based on second-order directional-derivatives

Seung Jun Lee, Jong Hwan Kim, Seok Jae Kang, Wonhee Choe, Sung-Jea Ko

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

It is a challenging work to reproduce the high resolution (HR) image from a noisy low resolution input while preserving its edge structures. In this paper, a fast noise-robust interpolation method is proposed. In the proposed method, the edge information of a pixel to be interpolated is first estimated using a local curvature (LC), which is a second-order directionalderivative obtained from its local neighborhoods. Based on the edge information of the pixel, edge-adaptive interpolation with noise reduction is performed using the proposed LC adaptive filter whose kernel is adaptively determined by comparing the LC values along the two orthogonal directions. A refinement procedure is adopted to further enhance the edge information of the HR image by applying a Laplacian subtraction method using the precomputed LC values. Experimental results show that the proposed method can preserve the edge sharpness while suppressing noise, with low computational complexity.

Original languageEnglish
Article number7298297
Pages (from-to)368-375
Number of pages8
JournalIEEE Transactions on Consumer Electronics
Volume61
Issue number3
DOIs
Publication statusPublished - 2015 Aug 1

Keywords

  • Edge-preserving interpolation
  • noise-robust interpolation
  • second-order directional-derivative

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology

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