International Journal of Computer Vision
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
ACM SIGGRAPH 2008 papers
Deep photo: model-based photograph enhancement and viewing
ACM SIGGRAPH Asia 2008 papers
Visibility Enhancement in the Foggy Environment Based on Color Analysis
ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
Single Image Haze Removal Using Dark Channel Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contrast restoration of weather degraded images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Correction of Simple Contrast Loss in Color Images
IEEE Transactions on Image Processing
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In this paper, we propose an efficient method to remove haze from a signal image based on the atmospheric scattering model and dark channel prior. Our approach applies a weighted technique that automatically finds the possible atmospheric lights, and mixes these candidates to refine the atmospheric light. Then, difference prior, a novel prior processing method, is employed for the estimation of the transmission that mitigates the halo artifact around the sharp edges. This method requires a low computational cost and is suitable for real-time applications. The experimental results show that our approach obtains the comparable results as compared with previous methods.