Images acquired under sand-dust weather conditions are severely degraded, with low contrast and severe color shift. The reason is that, due to the influence of sand-dust particles, light is scattered and absorbed, resulting in a blurred image and low contrast; the color shift is caused by the rapid attenuation of blue light. Therefore, to solve the problem of color shift and poor visibility in sand-dust images, this paper proposes a sand-dust image restoration method based on reversing the blue channel prior (RBCP). Under the influence of the blue channel, the dark channel prior (DCP) method will fail. Therefore, the method first reverses the blue channel of the sand-dust image and uses the dark channel prior method, which we call RBCP, and then, RBCP is used to estimate the atmospheric light and transmission map and recover the sand-dust image. The restored image shows significantly improved visibility. When estimating the transmission map, a guiding filter is used to improve the coarse transmission map, and a tolerance mechanism is introduced to modify the transmission map of bright areas in the sky to solve the problem of distortion in the sky. Finally, combined with the gray world, an adaptive color adjustment factor is introduced into the restoration model to remove the color shift. Experimental results via qualitative and quantitative evaluation demonstrate that the proposed method can effectively recover clear sand-dust images and produce results superior to those of other state-of-the-art methods.

中文翻译：

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基于反转蓝色通道先验的沙尘图像恢复

在沙尘天气条件下获得的图像严重退化，对比度低，颜色偏移严重。原因是，由于沙尘颗粒的影响，光线被散射和吸收，导致图像模糊，对比度低；色移是由蓝光的快速衰减引起的。因此，针对沙尘图像中色偏、能见度差的问题，提出一种基于蓝色通道先验逆向(RBCP)的沙尘图像复原方法。在蓝色通道的影响下，暗通道先验（DCP）方法将失效。因此，该方法首先反转沙尘图像的蓝色通道，采用暗通道先验方法，我们称之为RBCP，然后利用RBCP估计大气光和透射图，恢复沙尘图像。恢复后的图像显示出显着改善的可见性。在估计透射图时，使用引导滤波器对粗透射图进行改进，并引入容差机制修改天空明亮区域的透射图，解决天空失真问题。最后，结合灰度世界，在恢复模型中引入自适应颜色调整因子，去除色偏。通过定性和定量评估的实验结果表明，所提出的方法可以有效地恢复清晰的沙尘图像，并产生优于其他最先进方法的结果。引入容差机制修改天空明亮区域的透射图，解决天空失真问题。最后，结合灰度世界，在恢复模型中引入自适应颜色调整因子，去除色偏。通过定性和定量评估的实验结果表明，所提出的方法可以有效地恢复清晰的沙尘图像，并产生优于其他最先进方法的结果。引入容差机制修改天空明亮区域的透射图，解决天空失真问题。最后，结合灰度世界，在恢复模型中引入自适应颜色调整因子，去除色偏。通过定性和定量评估的实验结果表明，所提出的方法可以有效地恢复清晰的沙尘图像，并产生优于其他最先进方法的结果。