In high-density stereo correspondence, matching cost aggregation is one of the key links, and the non-local cost aggregation algorithm based on tree structure has attracted people's attention in recent years. On this basis, the clustering algorithm based on non-local tree is studied, and a new cyclic tree structure is given. Each pixel in the image is rooted in eight adjacent tree structures, which we call the first level. We made up the second floor with eight adjacent first floors. Since the algorithm has a natural location in the image pixel structure, it does not need to perform any operations on it. The performance of Middlebury's data set is evaluated, and the results show the application effect of the algorithm proposed in this paper in the current most advanced clustering algorithm.
In this paper, a method based on non-local saturation algorithm is proposed to avoid block and halo effect for single image dehazing with dark channel prior. First we convert original image from RGB color space into HSV color space with the idea of non-local method. Image saturation is weighted equally by the size of fixed window according to image resolution. Second we utilize the saturation to estimate the atmospheric light value and transmission rate. Then through the function of saturation and transmission, the haze-free image is obtained based on the atmospheric scattering model. Comparing the results of existing methods, our method can restore image color and enhance contrast. We guarantee the proposed method with quantitative and qualitative evaluation respectively. Experiments show the better visual effect with high efficiency.
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