JOURNAL ARTICLE

Segmenting dark channel prior in single image dehazing

Trung Minh BuiHuy TranW. KimSanghoek Kim

Year: 2014 Journal:   Electronics Letters Vol: 50 (7)Pages: 516-518   Publisher: Institution of Engineering and Technology

Abstract

In image dehazing, the existing transmission estimators bring out the halo artefact at boundaries unless they adopt a refinement procedure with a high computational complexity. How the existing transmission estimation methods suffer from the halo artefact at the boundaries are analysed and it is found that the elaborate, high computational refinement procedure to remove the halo effect are excessive for dehazing. On the basis of the above‐mentioned analysis and finding, a simple segmentation logic was embedded in an existing transmission estimator, which is sufficiently accurate for dehazing. The experiment verifies that the proposed method significantly reduces the halo artefact without requiring any refinement procedure.

Keywords:
Channel (broadcasting) Artificial intelligence Computer vision Image (mathematics) Computer science Segmentation Market segmentation Telecommunications Business

Metrics

23
Cited By
3.62
FWCI (Field Weighted Citation Impact)
4
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Improving Dark Channel Prior for Single Image Dehazing

Journal:   International Journal of Engineering Year: 2015 Vol: 28 (6 (C))
JOURNAL ARTICLE

Single image dehazing based on dark channel prior

Shuyin TaoHuajun FengZhihai XuQi Li

Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Year: 2011 Vol: 8003 Pages: 800302-800302
© 2026 ScienceGate Book Chapters — All rights reserved.