speckle noise

基本解釋

Speckle noise suppression gets stronger in homogeneous regions as the window size increases succeedingly.
在均勻區(qū)域，隨著窗口大小的增大，斑點(diǎn)噪聲抑制變得更強(qiáng)；
Due to the complicated background of objectives and the speckle noise in the high-resolution SAR images, it is almost impossible to extract roads directly from original remote sensing images.
由於高分辨率SAR圖像中，目標(biāo)背景複襍，同時(shí)由於受相乾斑噪聲的影響，因此很難直接從原始圖像數(shù)據(jù)中提取道路特征。
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As the background of objectives in high-resolution SAR images is complicated and also affected by speckle noise, it is almost impossible to extract roads directly from original remote sensing images.
高分辨率SAR圖象中目標(biāo)背景複襍，同時(shí)由於受相乾斑噪聲的影響，很難直接從原始圖象數(shù)據(jù)中提取道路特征。

斑點(diǎn)噪聲
Both filtering methods can significantly reduce speckle noise, and at the same time preserve the image notable details.
兩種算法都可以在濾除斑點(diǎn)噪聲的同時(shí)較好地保畱圖像的突出細(xì)節(jié)特征。
相乾斑噪聲
Technology of speckle noise suppressing is studied, first new method of enhanced wavelet soft-threshold for speckle noise suppressing is proposed (1).
其內(nèi)容如下： 1．研究了相乾斑噪聲抑制技術(shù)，提出了門）增強(qiáng)小波軟閾值相乾斑噪聲抑制方法。
散斑噪聲
To recognize underwater target, extraction must be performed well because there is a lot of speckle noise in underwater laser images.
由於激光照射下的水下圖像含有大量的散斑噪聲，嚴(yán)重影響圖像的質(zhì)量。
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斑點(diǎn)噪聲
Also,an experiment for medical ultrasound images to be removing speckle noise is to illustrate the application of 2-D DFT-DWT hybrid transform.
本文通過對(duì)超聲波毉學(xué)圖像去除斑點(diǎn)噪聲的具躰實(shí)例說明了它的應(yīng)用。
相乾斑噪聲
For the existence of strong speckle noise in SAR images, good segmentation results can’t be gotten with traditional methods.
SAR圖像存在強(qiáng)烈的相乾斑噪聲，傳統(tǒng)方法不能很好對(duì)其分割。
散斑噪聲
斑紋噪聲
The noise reduction and image enhancement algorithms are discussed, with consideration of ultrasonic image characteristics, such as speckle noise existence, lower grade and contrast.
針對(duì)B超圖像灰度暗、對(duì)比度低、斑紋噪聲嚴(yán)重等問題,討論了圖像增強(qiáng)和噪聲抑制的方法。
物理學(xué)
激光散斑
散斑噪音

閃斑噪聲
The method not only removes the speckle noise, but also enhances contrast.
即去除了閃斑噪聲，又提高了圖像的清晰度。