The effect of texture granularity on texture synthesis quality

S. Alireza Golestaneh, Mahesh M. Subedar, Lina Karam

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

4 Scopus citations

Abstract

Natural and artificial textures occur frequently in images and in video sequences. Image/video coding systems based on texture synthesis can make use of a reliable texture synthesis quality assessment method in order to improve the compression performance in terms of perceived quality and bit-rate. Existing objective visual quality assessment methods do not perform satisfactorily when predicting the synthesized texture quality. In our previous work, we showed that texture regularity can be used as an attribute for estimating the quality of synthesized textures. In this paper, we study the effect of another texture attribute, namely texture granularity, on the quality of synthesized textures. For this purpose, subjective studies are conducted to assess the quality of synthesized textures with different levels (low, medium, high) of perceived texture granularity using different types of texture synthesis methods.

Original languageEnglish (US)
Title of host publicationApplications of Digital Image Processing XXXVIII
EditorsAndrew G. Tescher, Andrew G. Tescher
PublisherSPIE
ISBN (Electronic)9781628417654, 9781628417654
DOIs
StatePublished - 2015
EventApplications of Digital Image Processing XXXVIII - San Diego, United States
Duration: Aug 10 2015Aug 13 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9599
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherApplications of Digital Image Processing XXXVIII
Country/TerritoryUnited States
CitySan Diego
Period8/10/158/13/15

Keywords

  • Texture synthesis
  • subjective quality
  • texture compression
  • texture granularity

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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