The inherent speckle noise of SAR image affects the interpretation and the further processing, so it is important to suppress speckle noise of SAR images.
SAR图像固有的斑点噪声严重影响了图像的判读和后续处理，因此抑制SAR图像斑点噪声显得尤其重要。
Noise data points caused by randomness of the speckle are removed by digital signal processing.
用图像处理技术消除散斑随机性引起的噪声。
Due to low quality of ultrasound image by speckle noise, efficient denoising method is needed for processing and analyzing.
由于超声图像受散粒噪声影响往往像质较差，如何有效实现超声图像的去噪是后续处理和分析的关键。
The speckle image pre-processing consists of noise decreasing, image recognition and gray extending.
散斑图像的预处理包括有降噪、图像识别、灰度拉伸；
Because of the backscatters, SAR images are contaminated by speckle noises which lower image quality and mask image structure. Therefore, noise-smoothing is the first step in the image processing.
SAR的后向散射成像机制决定了SAR图像中存在相干斑噪声，这些相干斑噪声降低了图像质量，掩盖了图像的细节结构，因此在SAR图像处理时通常先对图像进行去噪。
Because of the backscatters, SAR images are contaminated by speckle noises which lower image quality and mask image structure. Therefore, noise-smoothing is the first step in the image processing.
SAR的后向散射成像机制决定了SAR图像中存在相干斑噪声，这些相干斑噪声降低了图像质量，掩盖了图像的细节结构，因此在SAR图像处理时通常先对图像进行去噪。
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