JOURNAL ARTICLE

Single image dehazing based on fast wavelet transform with weighted image fusion

Abstract

Due to the presence of bad weather conditions, images captured in outdoor environments are usually degraded. In this paper, a novel single image dehazing method is proposed to enhance the visibility of such degraded images. Since the property of haze is widely spread, the estimated transmission should be smoothly changed over the scene. The fast wavelet transform (FWT) is introduced to estimate the smooth transmission in our work. To preserve more details and correct the color distortion, a solution based on weighted image fusion strategy is provided. Compared with the state-of-the-art single image dehazing methods, our method based on FWT with weighted image fusion (FWTWIF) produces similar or even better results with lower complexity. In order to verify the high visibility restoration and efficiency of our method, comparative experiments are conducted at the end of this paper.

Keywords:
Visibility Computer science Artificial intelligence Image fusion Computer vision Image (mathematics) Distortion (music) Haze Wavelet transform Transmission (telecommunications) Image restoration Wavelet Fusion Property (philosophy) Image processing Telecommunications Geography

Metrics

25
Cited By
0.48
FWCI (Field Weighted Citation Impact)
20
Refs
0.70
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 Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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