This paper addresses the problem of recovering the underlying scene radiance of a single noisy, hazy image, with the main contributions as follows. First is an ...
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Oct 22, 2024 · The first approach is to denoise the image prior to dehazing. This serial approach essentially treats haze and noise separately, and so a second ...
Jun 7, 2023 · This review analyzes some representative dehazing methods, evaluates their advantages and disadvantages, and most importantly, points out the best dehazing ...
Abstract In this paper, we propose a simple but effective image prior - dark channel prior to remove haze from a sin- gle input image.
Findings show that when the noise level is precisely known a priori, simply denoising prior to dehazing performs well, and when the Noise level is not given ...
This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors.
Apr 25, 2013 · In the first stage, we preprocess the degraded image and eliminate the blur/noise interference to estimate the hazy image. In the second stage, ...
In this paper, we propose a lightweight U-net architecture neural network model based on Dark Channel Prior (DCP) for efficient haze (fog) removal with a ...
In this paper, a simple pre-processing tool is introduced for single image haze removal so as to reduce the effect of noise in the restored image.
In this paper, we propose a novel single image haze removal algorithm by introducing a minimal color channel and a sky region compensation term. A simplified ...