14 February 2024 Adaptive wavelet transform defogging scheme for real-time video restoration with field programmable gate array implementation
Jun Dong, Tongfei Wang, Yueming Deng, Runmin Wang
Author Affiliations +
Abstract

In the context of real-time video defogging, accurately estimating the transmittance of sky regions and deep fault regions remains a challenging task due to severe color distortion and halo effects. To address this issue, we propose an innovative adaptive wavelet transform defogging (AWTD) scheme aimed at precisely modifying the transmittance of the sky and deep fault regions. Additionally, we present a dedicated field programmable gate array defogging architecture capable of direct application for real-time synchronous defogging of Full HD (1920×1080) videos. Through extensive experiments and comparisons, we demonstrate the effectiveness and practicality of the proposed AWTD approach in mitigating color distortion, halo effects, and other fog-induced artifacts. The results show that the dehazing algorithm attains 60 frames per second for the image resolution of 1920×1080, which is suitable of real time applications.

© 2024 SPIE and IS&T
Jun Dong, Tongfei Wang, Yueming Deng, and Runmin Wang "Adaptive wavelet transform defogging scheme for real-time video restoration with field programmable gate array implementation," Journal of Electronic Imaging 33(1), 013042 (14 February 2024). https://doi.org/10.1117/1.JEI.33.1.013042
Received: 9 August 2023; Accepted: 24 January 2024; Published: 14 February 2024
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KEYWORDS
Wavelet transforms

Video

Field programmable gate arrays

Image segmentation

Image processing

Wavelets

Tunable filters

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