30 December 2020 Brightness preservation single-image dehazing algorithm based on local visual pattern
Zhu Zhu, Xiaoguo Zhang
Author Affiliations +
Abstract

A brightness preservation dehazing algorithm based on the atmospheric scattering model is proposed. We introduce a novel pixel-patch-wise transmission. It not only can keep the scene radiance depth from becoming underestimated, it also preserves image color and brightness. First, based on the correlation of saturation and brightness in hue, saturation, and intensity color space, a pixel-wise transmission is estimated. To add the local information into the transmission, then a novel patch-wise visual mask by the free-energy principle is presented. With this mask, we can optimize the transmission and atmospheric light. Since the proposed method takes account of pixel, patch, and pattern information, it can restore more natural haze-free scenes. Experimental results demonstrate that our method achieves better restorations compared with some other state-of-the-art approaches.

© 2020 SPIE and IS&T 1017-9909/2020/$28.00© 2020 SPIE and IS&T
Zhu Zhu and Xiaoguo Zhang "Brightness preservation single-image dehazing algorithm based on local visual pattern," Journal of Electronic Imaging 29(6), 063017 (30 December 2020). https://doi.org/10.1117/1.JEI.29.6.063017
Received: 18 August 2020; Accepted: 7 December 2020; Published: 30 December 2020
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KEYWORDS
Air contamination

Image transmission

Lutetium

Atmospheric modeling

Image restoration

Visualization

Image processing

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