An efficient super resolution based on image dimensionality reduction using accumulative intensity gradient

Muhammad Haris, Kazuhito Sawase, Muhammad Rahmat Widyanto, Hajime Nobuhara

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

An efficient super resolution algorithm based on edge direction is proposed based on the dimensional reduction of color images and 3 types of edge direction. The basic idea is to reduce image -especially color image -dimensions and to interpolate pixels by using 3 simple edge directions -vertical, horizontal, and diagonal. The proposed algorithm conceivably eliminate more color artifacts than Bicubic. The results of experiments using 30 natural images confirm that PSNR of the proposed method achieve the same quality as Fast Curvature Based Interpolation (FCBI). We confirmed that computation time for the proposed method was 40% shorter for RGB and 20% shorter for grayscale images than the previous fastest method, i.e., FCBI. We show efficient panorama image generation based on the proposed super resolution method as one application of our proposal.

Original languageEnglish
Pages (from-to)518-528
Number of pages11
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume18
Issue number4
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Edge-direction
  • Gradient
  • Interpolation
  • Remote-sensing
  • Super-resolution

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