نتایج جستجو برای: dehazing

تعداد نتایج: 390  

2015
Vinkey Sahu

Images taken in foggy weather condition often suffer from poor visibility and clarity. Images of the outdoor scene which are captured under bad weather conditions contain atmospheric degradation such as haze, fog, smoke caused by the particles present in the atmosphere resulting in the absorption and scattering of the light, which travels from the scene point of the observer. Due to the presenc...

Journal: :IET Image Processing 2017
Tong Cui Jiandong Tian Ende Wang Yandong Tang

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...

2015
Amla Thomas M. Azath

Most of the computer applications use digital images. Digital image processing acts an important role in the analysis and interpretation of data, which is in the digital form. Images and videos of outdoor scenes are mainly affected by the bad weather conditions such as haze, fog, mist etc. It will result in poor visibility of the scene caused by the lack of quality. It will make awful impact on...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2015

Journal: :International Journal of Automation and Computing 2014

Journal: :International Journal for Research in Applied Science and Engineering Technology 2021

Journal: :Journal of Visual Communication and Image Representation 2021

Journal: :Soft Computing 2021

Image dehazing has always been a challenging topic in image processing. The development of deep learning methods, especially the generative adversarial networks (GAN), provides new way for dehazing. In recent years, many methods based on GAN have applied to However, two problems Firstly, For haze image, not only reduces quality but also blurs details image. network, it is difficult generator re...

Journal: :IEICE Transactions on Information and Systems 2017

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