Fuzzy information measure for improving HDR imaging

A. Várkonyi-Kóczy, Sándor Hancsicska, József Bukor

Research output: Contribution to journalArticle

Abstract

Digital image processing can often improve the quality of visual sensing of images and real-world scenes. Recently, high dynamic range (HDR) imaging techniques have become more and more popular in the field. Both classical and soft computing–based methods proved to be advantages in revealing the non-visible parts of images and realistic scenes. However, extracting as much details as possible is not always enough because the sensing capability of the human eye depends on many other factors and the visual quality is not always proportional to the rate of accurate reproduction of the scene. In this paper, a new fuzzy information measure is introduced by which the quality of HDR images can be improved and both the amount of visible details and the quality of sensing can be increased.

Original languageEnglish
Pages (from-to)113-126
Number of pages14
JournalStudies in Fuzziness and Soft Computing
Volume342
DOIs
Publication statusPublished - Jan 1 2016

Fingerprint

Range Imaging
High Dynamic Range
Fuzzy Information
Information Measure
Fuzzy Measure
Imaging techniques
Sensing
Image processing
Digital Image Processing
Range Image
Directly proportional
Vision

Keywords

  • Fuzzy image processing
  • High dynamic range imaging
  • Image quality improvement
  • Information enhancement
  • Tone mapping

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

Cite this

Fuzzy information measure for improving HDR imaging. / Várkonyi-Kóczy, A.; Hancsicska, Sándor; Bukor, József.

In: Studies in Fuzziness and Soft Computing, Vol. 342, 01.01.2016, p. 113-126.

Research output: Contribution to journalArticle

Várkonyi-Kóczy, A. ; Hancsicska, Sándor ; Bukor, József. / Fuzzy information measure for improving HDR imaging. In: Studies in Fuzziness and Soft Computing. 2016 ; Vol. 342. pp. 113-126.
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