Single image dehazing based on transmittance fusion

Wei You; Qian Fan

doi:10.1117/12.2577075

12 October 2020 Single image dehazing based on transmittance fusion

Wei You, Qian Fan

Proceedings Volume 11574, International Symposium on Artificial Intelligence and Robotics 2020; 115740B (2020) https://doi.org/10.1117/12.2577075
Event: International Symposium on Artificial Intelligence and Robotics (ISAIR), 2020, Kitakyushu, Japan

Abstract

Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but effective image prior – the transmittance fusion of the dark channel prior and color attenuation prior. By constructing the weight factor of transmittance, the respective advantages of both priors can be well presented. We combine the defogging effectiveness of the dark channel algorithm with the high applicability of the color attenuation prior. Brightness information makes the algorithm more adaptive in the dehazing process. Observed through a large amount of experimental data, the method in this paper can enhance the dehazing image effectively.

Citation Download Citation

Wei You and Qian Fan "Single image dehazing based on transmittance fusion", Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 115740B (12 October 2020); https://doi.org/10.1117/12.2577075

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