Cubic surface fitting to image with edges as constraints

Caiming Zhang, Xin Zhang, Xuemei Li, Fuhua Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

Conventional polynomial interpolation methods produce images with blurred edges, while edge-directed interpolation methods make enlarged images with good quality edges but with detail distortion in the non-edge portion. A new method for constructing a fitting surface to image data is presented. Unlike existing methods which produce enlarged images using image data as interpolation data, the new method constructs the fitting surface using the image data as constraints to reverse the sampling process for improving the fitting precision. To remove the zigzagging artifact, for each pixel and its nearby region, the edge information is used to determine the quadratic polynomial which approximates the original scene with a quadratic polynomial precision. Comparison results of the new method with other methods are included.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages1046-1050
Number of pages5
DOIs
StatePublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: Sep 15 2013Sep 18 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period9/15/139/18/13

Keywords

  • Surface fitting
  • image resizing
  • quadratic polynomial
  • reversing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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