节点文献
RBF神经网络在雾天图像复原中的应用
Application of RBF Neural Network in Foggy Image Restoration
【摘要】 针对雾天图像的特点及传统算法复原效果的不佳,提出了一种基于RBF神经网络的雾天图像复原算法。实验结果表明,该算法能够有效地提高图像清晰度和对比度,复原后的图像视觉效果得到了明显改善。
【Abstract】 In order to solve the problem caused by the characteristics of foggy image and the image restoration of traditional algorithm,an algorithm of RBF neural network based on a foggy image is proposed in this paper.The experimental results show that the algorithm can effectively improve the image resolution and contrast ratio,and the visual effect is obviously improved after recovery.
【基金】 南昌工程学院青年基金项目(项目编号:2012KJ020)
- 【文献出处】 河北科技师范学院学报 ,Journal of Hebei Normal University of Science & Technology , 编辑部邮箱 ,2015年02期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】114