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Classification-driven Single Image Dehazing
The generated images generally have better visual appeal, but not always have better performance for high-level vision tasks, e. g. image classification.
Does Haze Removal Help CNN-based Image Classification?
Typically, the goal of image dehazing is to produce clearer images from which human vision can better identify the object and structural details present in the images.
Effects of Image Degradations to CNN-based Image Classification
In this paper, we empirically study this problem for four kinds of degraded images -- hazy images, underwater images, motion-blurred images and fish-eye images.
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