Performance evaluation of edge-directed interpolation methods for noise-free images

  • Authors:
  • Shaode Yu;Rongmao Li;Rui Zhang;Mou An;Shibin Wu;Yaoqin Xie

  • Affiliations:
  • Shenzhen Institute of Advanced Technology, Shenzhen, China;Shenzhen Institute of Advanced Technology, Shenzhen, China;Harbin Institute of Technology, Shenzhen, China;Shenzhen Institute of Advanced Technology, Shenzhen, China;Shenzhen Institute of Advanced Technology, Shenzhen, China;Shenzhen Institute of Advanced Technology, Shenzhen, China

  • Venue:
  • Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Many interpolation methods have been developed for high visual quality, but fail for preserving image structures. Edges carry heavy structural messages for visual tasks. Importance of edge preservation imposes edge-directed interpolation (EDI) methods a center of focus. How to measure edge-preserving ability has not been mentioned. In this paper, two metrics are proposed to measure the ability by edge-preserving ratio from accuracy and robustness. Performance of four edge-directed interpolation with two traditional methods are evaluated on two groups of standard images with other six commonly-used metrics. Experimental results show that EDI methods are better than traditional methods with highly improved edge-preserving ratio.