A tool for ranking and enhancing aesthetic quality of paintings

W. A.P. Wickramasinghe, Anuja T. Dharmaratne, N. D. Kodikara

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

2 Citations (Scopus)


Measuring aesthetic value of an artwork is a significant task in the field of visual & performing arts. Artists follow several techniques manually using traditional methods to balance the visual aesthetic value of different aesthetic products such as a film, a drama, a painting etc. Today, artists are enthusiastic on emerging information technology techniques for judgment and enhancement of designed product aesthetically and efficiently while applying traditional concepts to design initial form of the artwork. Computational aesthetics is the research of computational methods that do make applicable aesthetic decisions in a similar fashion as human can. This paper introduces a new tool that can be used to rank a given digital image of paintings based on a common parameter set with their weighting factors which are supposed to be adjusted for changing the aesthetic level of a particular painting in the area of computational aesthetics.

Original languageEnglish
Title of host publicationSignal Processing, Image Processing and Pattern Recognition - Int. Conf., SIP 2011, Held as Part of the Future Generation Information Technology Conf., FGIT 2011, in Conjunction with GDC 2011, Proc.
Number of pages7
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Signal Processing, Image Processing and Pattern Recognition held at the FGIT Conference 2011 - Jeju Island, Korea, Republic of (South)
Duration: 8 Dec 201110 Dec 2011

Publication series

NameCommunications in Computer and Information Science
Volume260 CCIS
ISSN (Print)1865-0929


ConferenceInternational Conference on Signal Processing, Image Processing and Pattern Recognition held at the FGIT Conference 2011
Abbreviated titleSIP 2011
CountryKorea, Republic of (South)
CityJeju Island


  • aesthetics quality
  • analytic hierarchy process (AHP)
  • artwork (painting) evaluation
  • computational aesthetics

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