因此本文对图像去噪的理论和方法做了系统的研究，并对其中的一些关键技术和问题进行了较为深入的探索。
So this dissertation aims at systematical study on the theory and the algorithm of image denoising, which emphasizes thorough research of some key techniques and profound exploration of some problems.
研究并综述了PID神经元网络及其在图像处理中的应用，如图像去噪、图像复原、阴影去除等。
This paper studies and describes PID neural network and its application in image processing, such as im - age noise reducing, image restoration and image shadow removal.
图像处理通常需要较大的计算量，其中图像去噪是经常使用的一种预处理算法，研究其快速算法具有重要意义。
The huge computation load is necessary commonly for the image processing, the research on the fast algorithm of im-age denoising is very important for it is often used in the field.
图像去噪是图像恢复领域研究最早、最多的课题，也是进一步处理图像的必要步骤和关键环节。
The image denoising is the earliest and most research in the image restoration domain, it is the essential step and the key link in the process of image processing.
本论文的所有研究工作在图像去噪与图像融合处理领域具有重要的理论与应用价值。
All the research works in this dissertation have important values in the theory and application on image denoising and image fusion fields.
本文在基于偏微分方程的图像去噪方面进行了以下的研究：就非线性扩散偏微分方程的解法，引入了跳点有限差分格式。
We made the following research in image denoising based on PDEs. On the solution of nonlinear partial differential equations, the check-board finite difference scheme is introduced.
因此，保护细节的中值类滤波算法的研究成为图像去噪领域一个重要的问题。
This paper mainly investigates the median filtering methods based on the noise pixel detection.
因此，研究有效的图像去噪算法，改善去噪性能，对提高整个图像处理系统的性能至关重要。
Thus, the research on effective de-noise algorithms and the improvement of the performance of de-noise are very important for improving the whole performance of the digital image processing system.
因此，研究有效的图像去噪算法，改善去噪性能，对提高整个图像处理系统的性能至关重要。
Thus, the research on effective de-noise algorithms and the improvement of the performance of de-noise are very important for improving the whole performance of the digital image processing system.
应用推荐