Image dehazing is a useful technique which can eliminate the bad effect of haze on images and enhance the performances of image/video processing algorithms in the hazy weather. In this study, a single image dehazing m...
详细信息
Image dehazing is a useful technique which can eliminate the bad effect of haze on images and enhance the performances of image/video processing algorithms in the hazy weather. In this study, a single image dehazing method is proposed. The authors estimate the initial transmission properly based on latent region-segmentation and refine the estimated initial transmission by an objective function with a novel weighted L-1-norm regularisation term. The half-quadratic splitting minimisation method is employed to solve this optimisation problem. They also define an evaluation function to estimate the reliable global atmospheric light. With the refined transmission map and atmospheric light they recover the haze-free image by the haze imaging model. The authors' method is compared with three state-of-the-art methods and is also validated by two image quality assessment methods. The comparative experimental results and evaluations demonstrate that their method can recover comparable and even better results with clear details, low contrast loss and high contrast in most cases.
This article deals with video inspection of nuclear plant reactor after fuel reloading. During these underwater inspections, the fuel assemblies' heat generates turbulence effect that sensitively degrades the vide...
详细信息
This article deals with video inspection of nuclear plant reactor after fuel reloading. During these underwater inspections, the fuel assemblies' heat generates turbulence effect that sensitively degrades the video quality. An on-line restoration algorithm is proposed here. It consists of two steps. A temporal infinite impulse response filter is first used to get a stabilized but blurry video. A second spatial Wiener deconvolution filter is then used to estimate the video which would have been observed without turbulence. This second filter is based on a probabilistic model of the turbulence impact on the observed video. An on-line prototype, based on this algorithm and its straightforward extension to a moving camera (translation), has been successfully tested on several power plants.
暂无评论