一种基于稀疏编码的最优训练方案

A. Hazarathaiah, Dharani Udayabhanu, Anukupalli Anjali, Biruduraju Nymisha, Borra Prathyusha
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引用次数: 0

摘要

去除雨纹是一项具有挑战性和有趣的图像处理任务,其中雨纹将从带有雨纹的图像中去除。在文献中,提出了大量将去除雨纹作为图像增强或去噪的建议。本文提出了一种基于稀疏编码的雨纹去除模型。首先定义了去除雨纹的正则化项。然后,针对输入雨图像的特定块,编制合适的子字典字典。最后,对输入图像的小块分别进行稀疏编码。仿真结果表明,即使在雨滴大小超过一定阈值的情况下,该方法也具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimum Deraining Scheme using Sparse Coding
Rain streak removal is a challenging and interesting task of image processing where the rain streaks will be removed from an image with rain streaks. In the literature, a large number of proposals are made where rain streak removal is considered as image enhancement or denoising. In this paper, a model of rain streak removal was proposed using sparse coding. First the regularization terms of the rain streak removal are defined. Then, a suitable dictionary of sub- dictionary with respect to specific patch of input rainy image are prepared. Finally, the Sparse code is applied on the patches of input image individually. The simulation results prove that the proposed technique performs very well even if the raindrop size is above a certain threshold.
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