Quantification and relative comparison of synthesized texture

Chandralekha De, Frank Shih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Motivated by the desire to quantify/the output of various texture synthesis algorithms, our method uses classical statistical measures to test the quality of outputs for five different categories of texture. We test our approach on three texture synthesis algorithms and present our results here. Of the three different algorithms tested, one is pixel based, the second a patch based approach, and the third a hybrid approach which combines the best features of the pixel and the patch based approaches. Our study clearly shows that none of the three approaches gives the ideal texture against which we compare the synthesized results. However, it does give a fairly decent measure to compare the three and choose one among them as the best.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Pages739-746
Number of pages8
StatePublished - Dec 1 2011
Event2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States
Duration: Jul 18 2011Jul 21 2011

Publication series

NameProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Volume2

Other

Other2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
CountryUnited States
CityLas Vegas, NV
Period7/18/117/21/11

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Keywords

  • Texture
  • Tordoial

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