A maximal interest-point strategy applied to image enhancement with external priors

Oren Katzir, Guy Gilboa

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

Abstract

We examine the problem of matching patches of internal and external data. A new patch quality indicator is proposed which aims at maximizing the ratio of the number of points of interest to the area. We prove that the best convex polygon maximizing the indicator is the triangle. Thus data-driven triangle patches are used in the patch-matching algorithm, considerably improving the matching quality. The triangle representation inherently allows affine correction of the patches, thereby increasing the matching probability and enabling a smaller external data-set. We employ this technique for image quality enhancement of low resolution facial data using a data bank of external faces.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages1324-1328
Number of pages5
ISBN (Electronic)9781479983391
DOIs
StatePublished - 9 Dec 2015
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: 27 Sep 201530 Sep 2015

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2015-December

Conference

ConferenceIEEE International Conference on Image Processing, ICIP 2015
Country/TerritoryCanada
CityQuebec City
Period27/09/1530/09/15

Keywords

  • external image database
  • image enhancement
  • patch matching
  • points of interest
  • triangle patches

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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