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New image quality metric used for the assessment of color quantization algorithms

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

11 Citations (Scopus)

Abstract

Color quantization is an important operation in the field of color image processing. In this paper, we consider a usefulness of the new DSCSI metric to assessment of quantized images. This metric is shown in the background of other useful image quality metrics to evaluate the color image differences and it has also been proven that DSCSI metric achieves the highest correlation coefficients with MOS. For further veriffcation DSCSI metric the combined methods that use to initialize the results of well-known splitting algorithms such as POP, MC, Wu etc. were tested. Experimental results of such combined methods indicate that the Wu+KM approach leading to the best quantized images in the sense of DSCSI metric.

Original languageEnglish
Title of host publicationNinth International Conference on Machine Vision, ICMV 2016
EditorsDmitry P. Nikolaev, Antanas Verikas, Jianhong Zhou, Petia Radeva, Wei Zhang
PublisherSPIE
ISBN (Electronic)9781510611313
DOIs
Publication statusPublished - 2017
Event9th International Conference on Machine Vision, ICMV 2016 - Nice, France
Duration: 18 Nov 201620 Nov 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10341
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th International Conference on Machine Vision, ICMV 2016
Country/TerritoryFrance
CityNice
Period18/11/1620/11/16

Keywords

  • Color quantization
  • DSCSI
  • MOS
  • image database
  • image quality metric

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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