HVS-aware ROI-based illumination and color restoration

Heechul Han, Kwanghoon Sohn

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

1 Citation (Scopus)

Abstract

We present the framework for Human visual system (HVS)-aware Region of interest (ROI)-based Illumination and Color Restoration called 'HRICR' for restoring distorted images taken under the arbitrary illumination environment. The proposed method is effective for appropriate illumination and vivid color restoration as well as suppression of artifacts such as HALO and noise amplification. We introduce the ROI-based parameter estimation dealing with small shadow area against spacious well-exposed background in an image for the touch-screen camera. The perceptual difference threshold is obtained using just-noticeable-difference (JND) based on HVS m response to user interaction.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages3921-3924
Number of pages4
ISBN (Print)9781424456543
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 2009 Nov 72009 Nov 10

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period09/11/709/11/10

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Han, H., & Sohn, K. (2009). HVS-aware ROI-based illumination and color restoration. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 3921-3924). [5414024] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5414024