Speckle noise is a ‘granular pattern’ special kind of multiplicative noise mainly found in the SAR images and medical images such as CT scan and an ultrasound image. SAR is Synthetic Aperture Radar, special kind of radar that mainly captures the high-resolution images of the broad area of the earth surface. Image despeckling using wavelet transform is one efficient approach as it generates a large number of the small coefficients and a small number of the large coefficients. DWT is applied to analyze the speckled image more efficiently in detail. This paper gives a brief introduction to DWT and experimentally analysed the hard and soft thresholding functions. Matlab Toolbox Main Menu (MATLAB R2014a) is used to realize the practical implemen...
We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR ...
在详细分析了Donoho小波软阈值的基础上 ,应用小波变换技术对SAR图像进行分析处理 .使用“小波局部软阈值算法”来计算阈值 ,对高频小波系数进行阈值确定 .求得估计小波系数 ,对其取小波反变换后 ...
Conference PaperIn this paper we describe how the theory of wavelet thresholding introduced by Donoh...
The removal of granular pattern multiplicative speckle noise is the major issue in Synthetic Apertur...
Abstract- Synthetic Aperture Radar (SAR) images are mostly corrupted by speckle noise and this type ...
In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture ...
Tech ReportThis paper evaluates the performance of the recently published wavelet based algorithm fo...
SAR images are corrupted by speckle noise which is based on multiplicative noise or Reyleigh noise. ...
AbstractWe propose in this paper an efficient and adaptive threshold estimation method for suppressi...
Synthetic Aperture Radar (SAR) technology has mainly used for capturing high quality images from hig...
Synthetic aperture radar (SAR) images map Earth’s surface at high resolution, regardless of th...
In this paper, an effective method for speckle reduction and image enhancement for SAR images is pro...
The SAR images are corrupted by speckle noise. A new denoising method for this kind of images is rep...
Abstract — Synthetic aperture radars (SAR) are coherent imag-ing systems that produce complex-valued...
Synthetic aperture radar (SAR) is a very efficient instrument for obtaining a. better understanding...
We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR ...
在详细分析了Donoho小波软阈值的基础上 ,应用小波变换技术对SAR图像进行分析处理 .使用“小波局部软阈值算法”来计算阈值 ,对高频小波系数进行阈值确定 .求得估计小波系数 ,对其取小波反变换后 ...
Conference PaperIn this paper we describe how the theory of wavelet thresholding introduced by Donoh...
The removal of granular pattern multiplicative speckle noise is the major issue in Synthetic Apertur...
Abstract- Synthetic Aperture Radar (SAR) images are mostly corrupted by speckle noise and this type ...
In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture ...
Tech ReportThis paper evaluates the performance of the recently published wavelet based algorithm fo...
SAR images are corrupted by speckle noise which is based on multiplicative noise or Reyleigh noise. ...
AbstractWe propose in this paper an efficient and adaptive threshold estimation method for suppressi...
Synthetic Aperture Radar (SAR) technology has mainly used for capturing high quality images from hig...
Synthetic aperture radar (SAR) images map Earth’s surface at high resolution, regardless of th...
In this paper, an effective method for speckle reduction and image enhancement for SAR images is pro...
The SAR images are corrupted by speckle noise. A new denoising method for this kind of images is rep...
Abstract — Synthetic aperture radars (SAR) are coherent imag-ing systems that produce complex-valued...
Synthetic aperture radar (SAR) is a very efficient instrument for obtaining a. better understanding...
We propose in this paper an efficient and fast wavelet based technique for speckle removal from SAR ...
在详细分析了Donoho小波软阈值的基础上 ,应用小波变换技术对SAR图像进行分析处理 .使用“小波局部软阈值算法”来计算阈值 ,对高频小波系数进行阈值确定 .求得估计小波系数 ,对其取小波反变换后 ...
Conference PaperIn this paper we describe how the theory of wavelet thresholding introduced by Donoh...