HDR colored information enhancement based on fuzzy image synthesization

A. Várkonyi-Kóczy, András Rövid, Takeshi Hashimoto

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

2 Citations (Scopus)

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. If the scene to be viewed or processed has high dynamic range (dark and bright) illumination, these methods are able to help in detecting details that bright environment washes out and they miss fewer details in dark environment. By applying HDR techniques, the performance of different image processing and computer vision algorithms, information enhancement, object and pattern recognition can also be improved. In this paper, a new fuzzy tone reproduction algorithm is introduced which may help in developing hardly or non-viewable features and content of color images. The method applies a multiple exposure time image synthesization technique where the Red, Green, and Blue (RGB) color components of the pixels are handled separately. The modifications are supported by a fuzzy decision making system. In the output, the corresponding (modified) color components are blended. As a result, a high quality color HDR image is obtained, which contains the maximum level of details and color information.

Original languageEnglish
Title of host publication2007 IEEE International Symposium on Intelligent Signal Processing, WISP
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Symposium on Intelligent Signal Processing, WISP - Alcala de Henares, Spain
Duration: Oct 3 2007Oct 5 2007

Other

Other2007 IEEE International Symposium on Intelligent Signal Processing, WISP
CountrySpain
CityAlcala de Henares
Period10/3/0710/5/07

Fingerprint

Color
Lighting
Object recognition
Digital signal processing
Computer vision
Pattern recognition
Image processing
Decision making
Pixels
Imaging techniques
Processing

Keywords

  • Color image reproduction
  • Digital image processing
  • Fuzzy tone reproduction
  • High dynamic range images
  • Information enhancement
  • Multiple exposure time image synthesization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

Cite this

Várkonyi-Kóczy, A., Rövid, A., & Hashimoto, T. (2007). HDR colored information enhancement based on fuzzy image synthesization. In 2007 IEEE International Symposium on Intelligent Signal Processing, WISP [4447529] https://doi.org/10.1109/WISP.2007.4447529

HDR colored information enhancement based on fuzzy image synthesization. / Várkonyi-Kóczy, A.; Rövid, András; Hashimoto, Takeshi.

2007 IEEE International Symposium on Intelligent Signal Processing, WISP. 2007. 4447529.

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

Várkonyi-Kóczy, A, Rövid, A & Hashimoto, T 2007, HDR colored information enhancement based on fuzzy image synthesization. in 2007 IEEE International Symposium on Intelligent Signal Processing, WISP., 4447529, 2007 IEEE International Symposium on Intelligent Signal Processing, WISP, Alcala de Henares, Spain, 10/3/07. https://doi.org/10.1109/WISP.2007.4447529
Várkonyi-Kóczy A, Rövid A, Hashimoto T. HDR colored information enhancement based on fuzzy image synthesization. In 2007 IEEE International Symposium on Intelligent Signal Processing, WISP. 2007. 4447529 https://doi.org/10.1109/WISP.2007.4447529
Várkonyi-Kóczy, A. ; Rövid, András ; Hashimoto, Takeshi. / HDR colored information enhancement based on fuzzy image synthesization. 2007 IEEE International Symposium on Intelligent Signal Processing, WISP. 2007.
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