Removing Rain Streaks From Single Images Using Total Variation

Samer Shorman, S. A. Pitchay
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引用次数: 1

Abstract

Rainy image restoration is considered asone of the most important image restorations aspects to improve the outdoor vision. Many fields have used this kind of restorations such as driving assistant, environment monitoring, animals monitoring, computer vision, face recognition, object recognition and personal photos. Image restoration simply means how to remove the noise from the images. Most of the images have some noises from the environment. Moreover, image quality assessment plays an important role in the valuation of image enhancement algorithms. In this research, we will use a total variation to remove rain streaks from a single image. It shows a good performance compared to other methods, using some measurements MSE, PSNR, and VIF for an image with references and BRISQUE for an image without references
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使用总变化从单个图像中去除雨纹
雨水图像恢复被认为是改善室外视觉的重要图像恢复方面之一。驾驶辅助、环境监测、动物监测、计算机视觉、人脸识别、物体识别、个人照片等许多领域都使用了这种修复技术。图像恢复就是如何去除图像中的噪声。大多数图像都有一些来自环境的噪声。此外,图像质量评估在图像增强算法的评估中起着重要的作用。在这项研究中,我们将使用总变化来从单个图像中去除雨纹。与其他方法相比,它表现出良好的性能,使用一些测量MSE, PSNR和VIF对有参考的图像和BRISQUE对没有参考的图像
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