نتایج جستجو برای: dark channel prior
تعداد نتایج: 535551 فیلتر نتایج به سال:
Small surface objects, usually containing important information, are difficult to be identified under realistic atmospheric conditions because of weather degraded image features. This paper describes a novel algorithm to overcome the problem, using depth-aware analysis. Because objects-participating local patches always contain low intensities in at least one color channel, we detect suspicious...
Background : Evidence indicates that the orbitofrontal cortex (OFC) in the brain is probably invoemotional learning. The aim of the present study is to evaluate the role of OFC on spatial memory in dark and light area in rotation arena in place avoidance learning model. Material and methods : Long-Evans strain rats (280-300gr) were surgically implanted bilaterlved in ally with cannulae aimed at...
The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact images. In this paper, a novel image restoration based on non-convex, non-smooth variation thermal exchange optimization proposed. Firstly, dark channel prior used to estimate rough transmission map. Secondly, map refined by proposed adaptive non-convex...
Mount Kelud is one of the volcanoes that erupted in 2014. To observe activity, CCTV has been installed crater peak Kelud. The emits gases coming from bottom crater. gas makes surveillance undisturbed so resulting image will have noise. By using dehazing, visibility can be improved seen clearly. method used for this operation Color Attenuation Prior. In early stages, there a dark channel process...
Cold dark matter in the Milky Way halo may have structure defined by flows with low velocity dispersion. The Axion Dark Matter eXperiment high resolution channel is especially sensitive to axions in such low velocity dispersion flows. Results from a combined power spectra analysis of the high resolution channel axion search are presented along with a discussion of the assumptions underlying suc...
In this paper, we propose a novel method of object detection in bad weather conditions like Fog and smoke. It is based on statistical model of dark channel prior to estimate the thickness of the haze and physics based image restoration approach. Further applying simple image enhancement techniques improve the visibility of an obstacle in the line of sight. Using this prior with this imaging mod...
Images of outdoor scenes are usually degraded under bad weather conditions and bad environment which results in a hazy image. The most of haze removal methods based on a single image have ignored the effects of sensor blur and noise. Therefore, in this paper we propose a simple but effective image priodark channel prior to remove haze from a single input image. We employ an extremum approximate...
Underwater machine vision attracts more attention, but the terrible quality prohibits it from a wide range of applications. There exist many algorithms to solve this problem, but the real-time and adaptive method is frequently deficient. In this paper, based on filtering and Generative Adversarial Networks (GANs), two approaches are proposed for the aforementioned issue, i.e., a filtering-based...
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