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Images captured in bad weather condition suffer from the adverse effects of atmosphere. In these conditions the light going through the atmosphere is dimmed, which results in the decrease in the quality of the images. Although the traditional methods address the problem of poor visibility, they can not reach to an acceptable result in terms of quality and complexity. In this paper, a new method is...
In this paper, a novel and simple restoration-based fog removal approach is proposed. Here, we proposed an approach which is based on gamma transformation method and median filter. Transmission map is refined by the gamma transformation method. Then obtained transmission map is smoothed by a median filter. Qualitative and quantitative analysis demonstrate that proposed algorithm performs well in comparison...
Environmental effects, mist, haze, fog, snow and rain considerably affect visibility and result in degradation of image quality. The poor quality weather-degraded images perpetually affect performance of automated surveillance and tracking systems. Water droplets present in atmosphere cause mist, fog and haze effects due to scattering of light as it propagates through these particles. These chromatic...
The images degraded by fog suffer from poor contrast. In order to remove fog effect, a Contrast Limited Adaptive Histogram Equalization (CLAHE)-based method is presented in this paper. This method establishes a maximum value to clip the histogram and redistributes the clipped pixels equally to each gray-level. It can limit the noise while enhancing the image contrast. In our method, firstly, the original...
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