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Compensation of de-saturation effect in HDR images based on real scene adaptation analysis

  • Hyuk Ju Kwon
  • , Sung Hak Lee
  • , Tae Wuk Bae
  • , Seok Min Chae
  • , Min Ho Park
  • , Kyu Ik Sohng
  • Kyungpook National University

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

2 Scopus citations

Abstract

Chromatic adaptation transform is used to many color appearance models. Also, the iCAM06 model, a high-dynamic range (HDR) rendering process contains chromatic adaptation and is based on the CIECAM02 model. The D factor or degree of adaptation in chromatic adaptation of the iCAM06 model is the function of surround luminance or adapting luminance level, but does not consider visual white point shift according to the variation of luminance level. The iCAM06 model acquires a white image from the Gaussian low-passed image. So, each pixel has different white value, and when some of colors cover the whole image, de-saturation effect appears around these colors. In addition, the scale factor used to reduce de-saturation effect causes unsuitable change of adaptation degree. Therefore, we propose the new method to find global illuminant information and degree of adaptation in the HDR image rendering process. By comparing the proposed with the conventional method, we confirm that the proposed method has better performance in illuminant estimation and color representation.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Pages786-790
Number of pages5
StatePublished - 2011
Event2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States
Duration: 18 Jul 201121 Jul 2011

Publication series

NameProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Volume2

Conference

Conference2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Country/TerritoryUnited States
CityLas Vegas, NV
Period18/07/1121/07/11

Keywords

  • Chromatic adaptation
  • ICAM06
  • Illuminant estimation
  • White point shift

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