Dehazing method for transmittance correction

Xie Bin; JianHao Shen; Rui Yang

doi:10.1117/12.2647488

7 September 2022 Dehazing method for transmittance correction

Xie Bin, JianHao Shen, Rui Yang

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123291L (2022) https://doi.org/10.1117/12.2647488
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

A new adaptive image fog removal model is designed, which combines multi-scale guided filter algorithm with hue model, in order to solve the problems that traditional methods can easily cause the result image to appear contrast loss, halo obvious, color distortion and color bias serious. The paper proposed a new transmittance estimation method which combines multi-scale guided filter and dark channel prior theory, aiming at preserve the color information belongs to the images better. In addition, a more efficient structure preservation filter is introduced to optimize the coarse transmittance distribution and improve the overall effect of the defrosting result image. As we can see during the result, when compared to the classic algorithm, the proposed method to this paper can not only achieves better fog removal effect, but also effectively suppresses halo and dispersion.

Citation Download Citation

Xie Bin, JianHao Shen, and Rui Yang "Dehazing method for transmittance correction", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123291L (7 September 2022); https://doi.org/10.1117/12.2647488

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KEYWORDS

Atmospheric modeling

Transmittance

Image transmission

Fiber optic gyroscopes

Air contamination

Image processing

Scattering

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