Single Image Dehazing via Conditional Generative Adversarial Network
Published: Jun 1, 2018
Abstract
In this paper, we present an algorithm to directly restore a clear image from a hazy image. This problem is highly ill-posed and most existing algorithms often use hand-crafted features, e.g., dark channel, color disparity, maximum contrast, to estimate transmission maps and then atmospheric lights. In contrast, we solve this problem based on a conditional generative adversarial network (cGAN), where the clear image is estimated by an end-to-end...
Paper Details
Title
Single Image Dehazing via Conditional Generative Adversarial Network
Published Date
Jun 1, 2018
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