An enhanced window-variant dark channel prior for depth estimation using single foggy image

Jie Chen, Lap Pui Chau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

The dark channel prior is a simple yet efficient way to estimate the scene depth information using one single foggy image. However the prior fails for pixels with low colour saturation. Based on the observation that areas with dramatic colour changes tend to belong to similar depth, a window variation mechanism is proposed in this paper based on the neighbourhood scene complexity and colour saturation rate to achieve an ideal compromise between depth resolution and precision. The proposed method greatly alleviates the intrinsic drawbacks of the original dark channel prior. Experiments show the proposed method produces more accurate depth estimation in most of the scenes than the original prior.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PublisherIEEE Computer Society
Pages3508-3512
Number of pages5
ISBN (Print)9781479923410
DOIs
Publication statusPublished - Sep 2013
Externally publishedYes
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15 Sep 201318 Sep 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period15/09/1318/09/13

Keywords

  • Dark Channel Prior
  • Foggy
  • Image Depth
  • Window-varying

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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