Region-based backlight compensation algorithm for images and videos

Dae Young Hyun, Jun Hee Heu, Chang-Su Kim, Sang Uk Lee

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

1 Citation (Scopus)

Abstract

An algorithm for compensating the effects of backlight in images and videos is proposed in this work. We first determine the region of interest (ROI) to compensate mainly using a saliency map, which is based on darkness, skin color, color and texture prominency features. We then compute the compensating offset value for each pixel. Initial offset values are derived to improve the brightness and the contrast of the ROI, and also to provide temporally consistent output frames in case of the video compensation. Finally, we obtain the final offset values by minimizing an energy function, consisting of a data term and a smoothness term. Simulation results show that the proposed algorithm improves the picture qualities of backlit images and videos efficiently.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages3545-3548
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 2010 Sep 262010 Sep 29

Publication series

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

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period10/9/2610/9/29

Keywords

  • Backlight compensation
  • Image enhancement
  • Motion reliability
  • Saliency
  • Video enhancement

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Hyun, D. Y., Heu, J. H., Kim, C-S., & Lee, S. U. (2010). Region-based backlight compensation algorithm for images and videos. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 3545-3548). [5651281] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5651281