This paper proposes an image smoothness method based on partial differential equation with reproducing kernel.
本文给出了求解基于偏微分方程的图像平滑模型的再生核方法。
参考来源 - 基于二维再生核理论的图像平滑方法·2,447,543篇论文数据，部分数据来源于NoteExpress
The thesis discusses the image pretreatment methods of image grayness, grayness transform, image smoothness, image sharpness and image binarization;
论文深入研究了图像灰度处理、图像灰度变换、图像平滑、图像锐化、图像二值化等图像预处理方法。
Compared with methods of wavelet transform, the method using in this paper can better reappear the ground information of cloud covering and have better image smoothness and image definition.
相比于小波变换等方法，该方法更好地再现了云层覆盖区的地物信息，具有更好的图像光滑度和清晰度。
Numerous other shapes exist, as do controls for line width and smoothness of image.
其他形状多得不胜枚举，因此对于行宽及图像平滑度的控制也是不计其数的。
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