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An Investigation of Dehazing Effects on Image and Video Coding

机译:图像和视频编码的除雾效果研究

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This paper makes an investigation of the dehazing effects on image and video coding for surveillance systems. The goal is to achieve good dehazed images and videos at the receiver while sustaining low bitrates (using compression) in the transmission pipeline. At first, this paper proposes a novel method for single-image dehazing, which is used for the investigation. It operates at a faster speed than current methods and can avoid halo effects by using the median operation. We then consider the dehazing effects in compression by investigating the coding artifacts and motion estimation in cases of applying any dehazing method before or after compression. We conclude that better dehazing performance with fewer artifacts and better coding efficiency is achieved when the dehazing is applied before compression. Simulations for Joint Photographers Expert Group images in addition to subjective and objective tests with H.264 compressed sequences validate our conclusion.
机译:本文研究了去雾对监视系统的图像和视频编码的影响。目标是在接收器上获得良好的解雾图像和视频,同时在传输管道中保持较低的比特率(使用压缩)。首先,本文提出了一种新的单图像去雾方法,用于研究。它的运行速度比当前方法快,并且可以通过使用中值运算来避免光晕效应。然后,在压缩之前或之后应用任何除雾方法的情况下,我们将通过研究编码伪像和运动估计来考虑压缩中的除雾效果。我们得出的结论是,在压缩之前应用除雾功能时,可以获得较少伪像的更好除雾性能和更好的编码效率。除了通过H.264压缩序列进行的主观和客观测试外,联合摄影师专家组图像的仿真还证明了我们的结论。

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