A new degraded image restoration algorithm which USES adaptive smoothness constraint based on fuzzy functions is used, is proposed.
为了在抑制噪声的同时保护图像的细节，提出了一种基于模糊函数的自适应平滑约束图像复原算法。
The theory based on smoothness constraint restoration is introduced, then the remote sensing image of CCD camera with the method is processed.
文章先介绍了平滑约束复原方法的理论基础，然后用该方法对CCD相机的遥感图像进行了复原处理。
The smoothness constraint method of image restoration in frequency domain and its practical application in the remote sensing field are emphasized.
重点研究了频域平滑约束复原方法以及该方法在遥感领域中的实际应用。
We proposed figure continuity constraints by applying disparity smoothness constraint in the edges extracted by our algorithm, which can eliminate the error matching;
将视差光滑性约束应用于边缘特征上，提出了边缘连续性约束，这一约束能去除误匹配点；
To construct a valid smoothness constraint, an edge-directed tensor diffusion is used, which can automatically select to denoise or to enhance edge according to the direction of edges.
在光滑性约束项的构造上，构造了一种基于边缘定向扩散的各向异性张量型扩散方程，能有效地根据边缘的方向确定是增强边缘还是滤除噪声。
Results show th at under certain conditions, the whole system MTF can be effectually improved by smoothness constraint restoration, consequently, the remote sensing image becomes clear.
可以得出结论，在一定条件下，利用平滑约束复原方法可以有效地改善整个系统的调制传递函数，从而使图像变得清晰。
On the other hand, the anisotropic diffusion equation was introduced in the oriented smoothness constraint so that the computation of flow velocity in the motion discontinuity can be improved.
另一方面将各向异性扩散方程引入方向平滑约束，以改善包括运动不连续处的流速计算精度。
On the other hand, the anisotropic diffusion equation was introduced in the oriented smoothness constraint so that the computation of flow velocity in the motion discontinuity can be improved.
另一方面将各向异性扩散方程引入方向平滑约束，以改善包括运动不连续处的流速计算精度。
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