Image dehazing algorithm of transmittance fusion based on light field depth information

Jinshan Ma; Changxiang Wang

doi:10.1117/12.3041001

11 September 2024 Image dehazing algorithm of transmittance fusion based on light field depth information

Jinshan Ma, Changxiang Wang

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530L (2024) https://doi.org/10.1117/12.3041001
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

An algorithm for dehazing images is presented in this study, which combines fusion transmittance and light field depth information to address issues such as color distortion and loss of image details that commonly occur in traditional dehazing algorithms relying on atmospheric scattering models with imprecise parameter estimation. This algorithm utilizes light field multi-view technology to estimate depth, gather depth information of foggy scenes, outline the sky region within the scene, and segment the image into foreground and sky regions. Transmittance values are calculated separately for each region, and then a confidence fusion process is applied to determine the final transmittance value. The obscured image is then enhanced using the atmospheric scattering model to achieve dehazing results. Experimental results demonstrate that this algorithm surpasses current single-image dehazing algorithms in various fog density scenarios by producing superior dehazing results, effectively reducing color distortion and halo effects while also recovering more image details.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinshan Ma and Changxiang Wang "Image dehazing algorithm of transmittance fusion based on light field depth information", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530L (11 September 2024); https://doi.org/10.1117/12.3041001

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