A new adaptive windowing algorithm for speckle noise suppression is proposed, solving the problem of window size associated with the local statistics adaptive filter.
研究了一种新颖的斑点噪声抑制自适应窗口算法，解决了局域统计自适应滤波器的窗口大小问题。
Experimental results indicate this algorithm is a fast efficient algorithm to filter speckle noise in the underwater laser image.
实验表明这是一种有效的滤除水下激光图像散斑噪声的快速滤波算法。
MAP filter is a filter which is often used to reduce the speckle of SAR images.
MAP滤波器是一种常用的抑制SAR图像相干斑噪声的滤波器。
In this paper, wavelet is used to erase speckle noise in radar PPI, and the principle of morphology is used for building structure element to filter off the speckle noise and clutter.
提出了利用小波来去除雷达平面位置图像(PPI)的散点噪声，然后利用形态学原理构造目标结构元来滤除斑点噪声和杂波。
By simulations, the adaptive filter algorithm is shown significantly superior to the filter algorithm only considering speckle noise as multiplicative noise in the presence of speckle and...
仿真结果表明，在同时存在斑纹和湍流噪声的情况下，本文给出的自适应滤波算法优于只考虑斑纹噪声的滤波算法。
The noise sources and model in speckle photography fringe pattern is discussed and a noise filter for this model is designed.
本文讨论了散斑摄影条纹图的噪声来源及模型，设计合适的数字滤波器。
Speckle in SAR images will disturb classification accuracy. Vector filter of speckle is used to dual-frequency images before classification.
SAR图像的相干斑会影响图像的分类准确度和精度，在进行分类处理前，对双波段全极化SAR图像相干斑进行矢量滤波处理。
In this paper, multiplication model of speckle image in imaging lidar is analyzed, and then suppression processing for the speckle image is finished by homomorphic wavelet filter.
分析了激光成像雷达系统中所成的散斑像的乘法模型 ，并在此基础上利用一基于小波的同态滤波器对被散斑污染的图像进行了消噪处理。
In order to improve the capability of Synthetic Aperture Radar (SAR) speckle reduction, the speckle reduction model of a 2d two-channel filter bank multiscale structure is presented.
为了提高合成孔径雷达(SAR)图像相干斑抑制能力，建立了二维双通道滤波器组多级结构的相干斑抑制模型。
Instead of using the homomorphic filter which is used to get rid of multiple noise and is a biased estimator, this algorithm translates speckle into locally stationary additive white noise.
该算法不同于有偏的去除乘性噪声的同态滤波算法，而是将噪声转化为局部平稳的加性白噪声。
There are two shortcomings when such filter is used for image denoising: single speckle is reserved after filtering and noise at edges cannot be eliminated successfully.
但这种非线性扩散方程在进行图像去噪的过程中存在两个缺点：滤波过后依然存在孤立噪声点和边缘处的噪声难以去除。
In view of speckle noise in medical ultrasound image, adenosing method based on adaptive morphological filter was proposed.
由于超声成像机制的限制，图像质量相对较差一直是超声医学图像主要的缺点，难以满足后期的图像分析工作的要求。
In view of speckle noise in medical ultrasound image, adenosing method based on adaptive morphological filter was proposed.
由于超声成像机制的限制，图像质量相对较差一直是超声医学图像主要的缺点，难以满足后期的图像分析工作的要求。
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