Observer-dependent image enhancement

Research output: Contribution to conferencePaperpeer-review


In many image-processing applications the image quality should be improved to support the human perception. Image quality evaluation by human observers is, however, heavily subjective in nature. Individual observers judge the image quality differently. In many cases, the quality of the relevant part of image information, which is perceived by the observer, should reach a maximum. In previous works an overall system for subjective image enhancement, which is based on fusion of different algorithms, was introduced. In this paper, more details of the overall-system structure are provided. Furthermore, the test results for contrast and sharpness/smoothness as interesting image qualities are also presented.

Original languageEnglish (US)
Number of pages4
StatePublished - 2001
Event10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia
Duration: Dec 2 2001Dec 5 2001


Conference10th IEEE International Conference on Fuzzy Systems


  • Fuzzy inference
  • Fuzzy measures
  • Image enhancement
  • Observer
  • Subjectivity

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics


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