Abstract
Image dehazing is a technique to recover the intensity and quality of images captured in special climatic conditions such as fog, haze or mist. In this chapter, we present a computationally less expensive and reliable method that employs gradient thresholding airlight and weight-guided image filtering (WGIF) with a color attenuation prior approach for dehazing. Color attenuation prior is used for computing the depth of a scene. The depth information is refined with WGIF to avoid halo artifacts. By adopting the improved gradient thresholding method for airlight estimation, better results can be produced in less time.
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Shafina, M., Aji, S. (2019). A Single Image Haze Removal Method with Improved Airlight Estimation Using Gradient Thresholding. In: Krishna, A., Srikantaiah, K., Naveena, C. (eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_66
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DOI: https://doi.org/10.1007/978-981-10-8797-4_66
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