Fuzzy logic supported coloured image information enhancement

A. Várkonyi-Kóczy, András Rövid

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

Abstract

High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. On the other hand, digital processing can often improve the visual quality of real-world photographs or views. Recently, HDR imaging techniques have come into the focus of research because of their high theoretical and practical importance. In this paper, a new fuzzy supported colour tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of colour images. It results in high quality colour HDR images containing the maximum level of details and colour information.

Original languageEnglish
Title of host publication8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007
Pages189-200
Number of pages12
Publication statusPublished - 2007
Event8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007 - Budapest, Hungary
Duration: Nov 15 2007Nov 17 2007

Other

Other8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007
CountryHungary
CityBudapest
Period11/15/0711/17/07

Fingerprint

Fuzzy logic
Color
Digital signal processing
Lighting
Imaging techniques
Processing

Keywords

  • Colour image reproduction
  • Fuzzy tone reproduction
  • High dynamic range images
  • Information enhancement
  • Multiple exposure time image synthesization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Várkonyi-Kóczy, A., & Rövid, A. (2007). Fuzzy logic supported coloured image information enhancement. In 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007 (pp. 189-200)

Fuzzy logic supported coloured image information enhancement. / Várkonyi-Kóczy, A.; Rövid, András.

8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007. 2007. p. 189-200.

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

Várkonyi-Kóczy, A & Rövid, A 2007, Fuzzy logic supported coloured image information enhancement. in 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007. pp. 189-200, 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007, Budapest, Hungary, 11/15/07.
Várkonyi-Kóczy A, Rövid A. Fuzzy logic supported coloured image information enhancement. In 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007. 2007. p. 189-200
Várkonyi-Kóczy, A. ; Rövid, András. / Fuzzy logic supported coloured image information enhancement. 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007. 2007. pp. 189-200
@inproceedings{5213320ec0b14636a2e8502aefde0da5,
title = "Fuzzy logic supported coloured image information enhancement",
abstract = "High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. On the other hand, digital processing can often improve the visual quality of real-world photographs or views. Recently, HDR imaging techniques have come into the focus of research because of their high theoretical and practical importance. In this paper, a new fuzzy supported colour tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of colour images. It results in high quality colour HDR images containing the maximum level of details and colour information.",
keywords = "Colour image reproduction, Fuzzy tone reproduction, High dynamic range images, Information enhancement, Multiple exposure time image synthesization",
author = "A. V{\'a}rkonyi-K{\'o}czy and Andr{\'a}s R{\"o}vid",
year = "2007",
language = "English",
pages = "189--200",
booktitle = "8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007",

}

TY - GEN

T1 - Fuzzy logic supported coloured image information enhancement

AU - Várkonyi-Kóczy, A.

AU - Rövid, András

PY - 2007

Y1 - 2007

N2 - High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. On the other hand, digital processing can often improve the visual quality of real-world photographs or views. Recently, HDR imaging techniques have come into the focus of research because of their high theoretical and practical importance. In this paper, a new fuzzy supported colour tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of colour images. It results in high quality colour HDR images containing the maximum level of details and colour information.

AB - High dynamic range of illumination may cause serious distortions and information loss in the viewing and further processing of digital images. On the other hand, digital processing can often improve the visual quality of real-world photographs or views. Recently, HDR imaging techniques have come into the focus of research because of their high theoretical and practical importance. In this paper, a new fuzzy supported colour tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of colour images. It results in high quality colour HDR images containing the maximum level of details and colour information.

KW - Colour image reproduction

KW - Fuzzy tone reproduction

KW - High dynamic range images

KW - Information enhancement

KW - Multiple exposure time image synthesization

UR - http://www.scopus.com/inward/record.url?scp=84883122994&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883122994&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84883122994

SP - 189

EP - 200

BT - 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007

ER -