Image Haze Removal Based Dark Channel Prior

Bai Lin Lin

doi:10.4028/www.scientific.net/AMM.536-537.186

Paper Titles

Transformation Equipment Voice Reconstruction Based on Fourier Spectrum of Power-Frequency Multiple
p.168

Two-Phase Image Segmentation with Nonlocal Mean Filter and Kernel Evolutionary Clustering in Local Learning
p.172

Vehicle Association and Tracking in Image Sequences Using Feature-Based Similarity Comparison
p.176

Corner and Edge Detection of Image Based on an Annealed Chaotic Competitive Network
p.180

Image Haze Removal Based Dark Channel Prior
p.186

Real-Time Information Processing Method and its Application in Optical Target Tracking System
p.192

Target Recognition Application of Real-Time Optical Information Processing System
p.197

The Initial Retrieval Based on Image Segmentation
p.201

Online Pedestrian Tracking with Kalman Filter and Random Ferns
p.205

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537Image Haze Removal Based Dark Channel Prior

Image Haze Removal Based Dark Channel Prior

Abstract:

This paper describes the image based on dark channel prior to fog. Dark colors from the statistical laws of outdoor priori no fog image database, it was such a key observation was based on the fact that - the vast majority of each local area outdoor image without fog are present strength of certain of at least one color channel low value pixels. Using this model building, directly estimate the concentration of fog and mist removal recover high quality interference image. Experiments show that the dark channel prior to remove the image haze becomes simple and effective.

You might also be interested in these eBooks

Advances in Mechatronics, Robotics and Automation II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

186-191

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.186

Citation:

Cite this paper

Online since:

April 2014

Authors:

Bai Lin Lin

Keywords:

Dark Corlor, Defog, Image, MATLAB

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] He K, Sun J, Tang X. Single image haze removal using dark channel prior[C]. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, 2009: 1956-(1963).

DOI: 10.1109/cvpr.2009.5206515

Google Scholar

[2] Tan R T. Visibility in bad weather from a single image[C]. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008: 1-8.

DOI: 10.1109/cvpr.2008.4587643

Google Scholar

[3] Shwartz S, Namer E, Schechner Y Y. Blind haze separation[C]. In Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. IEEE, 2006, 2: 1984-(1991).

DOI: 10.1109/cvpr.2006.71

Google Scholar

[4] Fattal R. Single image dehazing[C]. In ACM Transactions on Graphics (TOG). ACM, 2008, 27(3): 72.

DOI: 10.1145/1360612.1360671

Google Scholar