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This paper proposes a single image dehazing based on deep neural network that is to deal with haze image. In this paper, we build up a deep neural network to restore the hazy image. We test our method both objective and subjective and compare with classical method for dehazing. Our test shows that our method works better than the others in reducing Halo effect and also our method does well in restore...
This article presents a joint study between computer scientists and fusion scientists in developing visual tools for studying patterns in flow fields from large-scale magnetic confinement fusion simulations. The authors visualize time-varying flow data by generating trajectory curves via massless particle advection and design a set of color functions, pathline filters, and projection methods specific...
In the study, the first hard problem is to obtain rock fracture images of a good quality, since rock surface is very rough, and is compose of complicated and multiple fractures. We used both UV (Ultraviolet) light illumination and visible optical illumination to acquire rock fracture images. The samples are resin injected, in which way; opened fractures can be seen clearly by means of UV light illumination,...
To overcome the disadvantage of describing contents of an image only with global features, a new color cluster image retrieval algorithm based on object regions is proposed. In this paper, firstly, object regions are extracted from an image, and then a new color cluster algorithm is presented. The algorithm is developed based on HVS color space, histogram intersection and combination of two similarity...
In mineral processing, mineral flotation is a widely used traditional method for obtaining minerals. Normally, the froth surface is monitored and controlled by an operator who has good experiences for production optimisation, which is tedious and personal dependent. In order to overcome these disadvantages, a machine vision system was developed for monitoring froth surface variation. This paper presents...
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