基于神经网络的自适应多尺度图像去噪

M. Srinivasan, S. Annadurai
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引用次数: 0

摘要

图像在采集和传输过程中经常受到加性高斯噪声的破坏。必须对这些图像进行去噪以保留信号并抑制噪声。去噪可以通过阈值、滤波等多种方法来实现。但是这些方法没有考虑到图像的局部空间尺度信息。本文构建了一种考虑图像空间尺度信息的新型神经网络进行降噪。该方法得到了较好的数值结果和较好的视觉效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive multiscale image denoising using neural networks
An image is often corrupted by additive Gaussian noise during its acquisition and transmission. Denoising has to be performed on these images to retain the signal and to suppress the noise. Denoising can be performed by various methods like thresholding, filtering etc. But these methods did not consider the local space scale information of the image. Here a new type of neural network is constructed for noise reduction, where the space scale information of the image is considered. This method gives a good numerical results and also better visual effects.
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