speckle noise

Especially in the edge extraction, the speckle noise makes none of the conventional extraction algorithms get good result.

Therefore, the suppression SAR image speckle noise, is an important issue of SAR imaging applications.

Speckle noise is an intrinsic property of Synthetic Aperture Radar (SAR) imagery.

An improved polarization recording approach to reduce speckle noise in digital holography is proposed.

We use wavelet transform and SPIHT encoding method to compress the data that we got after speckle noise reduction.

The practical RFI and speckle noise suppression techniques for ultra-wideband SAR are proposed.

By averaging the intensity fields, the speckle noise in the reconstructed images is well suppressed.

An image enhancement method that reduces speckle noise and preserves edges is introduced.

In this paper, a nonlinear multiwavelet transform adaptive threshold value method is proposed to suppress speckle noise.

A method for reducing speckle noise in multiple copy images within identical scenario based on independent component analysis is proposed.

To solve this problem, a method to reduce speckle noise is proposed for digital holography.

SAR is a coherent imaging system, so SAR images contain lots of Speckle noise.

First, the wavelet and median filter based denoising was adopted in order to remove the speckle noise in ultrasonic images.

In view of speckle noise in medical ultrasound image, adenosing method based on adaptive morphological filter was proposed.

It can not only efficiently reduce the speckle noise but also preserve the detailed features of the image.

Speckle compressing algorithm of preserving the geometrical features and suppressing speckle noise in images

Discussing and Comparing Lee Filter and Morphological Filtering Algorithm Using in Speckle Noise Reduction

the arising mechanism , model and statistical characteristics of speckle noise are described and the popular filters are analyzed

Speckle Noise Suppressing Based on a New Nonlinear Weighted Averaging Multidirectional Morphological Filtering Algorithm

Speckle Noise Suppression Based on an Adaptive Weighted Morphological Filter

speckle noise suppression and filtering methods for spaceborne sar images

Speckle noise pre-processing technology on image captured at night for pattern matching

The Method and Study of Reducing Speckle Noise in SAR Image

Study of SAR Speckle Noise Suppressing

Study and Comparison of Speckle Noise Suppressing Algorithms

Based on Combining Homomorphic and Adaptive Fuzzy Multilevel Median Filtering for Restoration of Images Degraded by Speckle Noise

Filtering algorithm on underwater laser image stained by speckle noise

Speckle Noise Filtering on SAR Images with Anisotropic Diffusion

Research on Method and Application of Speckle Noise Reduction of SAR Image

Study on the application of speckle noise filtering methods in SAR images

Comparison and discussion about Lee althorithm and wavelet threshold althorithm using speckle noise reduction

Research on the algorithm of suppressing speckle noise on SAR images

A novel approach of speckle noise reduction using wavelet packet

Reduction of speckle noise in digital holography

Speckle Noise Suppressing Based on Multilevel Nonlinear Weighted Mean Median Filter

An Approach to Suppress Speckle Noise and Enhance Edge Based on Fourth-order Anisotropic Diffusion

The Filtering Algorithm for SAR Image Speckle Noise Based on Anisotropic Diffusion

New method for reducing speckle noise in sar image

Restrain speckle noise of SAR image based on wavelet package threshold method

Edge Detection of IVUS Images Based on Blood Speckle Noise Reduction and the T-Snake Model

both filtering methods can significantly reduce speckle noise , and at the same time preserve the image notable details