A no reference texture granularity index and application to visual media compression

Mahesh M. Subedar, Lina Karam

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

6 Scopus citations

Abstract

Texture granularity is an important attribute to quantify the level of details present in the image. This work presents a no-reference texture granularity index and shows using subjective experiments that the proposed granularity index correlates well with the perceived granularity of textures. In addition, a subjective study is conducted to assess the effect of compression on textures with varying degrees of granularity. It is shown that a measure of texture granularity can predict the compression quality.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
PublisherIEEE Computer Society
Pages760-764
Number of pages5
Volume2015-December
ISBN (Print)9781479983391
DOIs
StatePublished - Dec 9 2015
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: Sep 27 2015Sep 30 2015

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
CountryCanada
CityQuebec City
Period9/27/159/30/15

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Keywords

  • no-reference quality assessment
  • objective metric
  • subjective assessment
  • texture compression
  • texture database
  • texture granularity

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Subedar, M. M., & Karam, L. (2015). A no reference texture granularity index and application to visual media compression. In Proceedings - International Conference on Image Processing, ICIP (Vol. 2015-December, pp. 760-764). [7350901] IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7350901