Hybrid image denoising based dehazing with central difference embedding convoluted generative adversarial network for poor visibility scenarios
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DOI: 10.1080/19479832.2024.2422608
Abstract: ABSTRACT In image dehazing, non-uniform haze leads to issues such as image blurring, distortion, low contrast, and surface detail loss. Existing dehazing techniques struggle with the uneven distribution of haze, especially in scenes with varying… read more here.
Keywords: convoluted generative; image; central difference; embedding convoluted ... See more keywords