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Synthetic aperture radar image denoising method based on non-down sampling profile wave

A non-subsampling contour and synthetic aperture radar technology, applied in the field of image processing, can solve problems such as insufficient denoising, inability to preserve SAR image detail features well, and inability to describe image geometric information well

Active Publication Date: 2009-07-15
XIDIAN UNIV
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Problems solved by technology

Regardless of whether the SAR image is denoised in the downsampling or non-downsampling wavelet transform domain, the resulting image often cannot well retain the details of the original SAR image, and wavelet analysis is not the optimal function in two-dimensional space. The representation method cannot well describe the geometric information with line singularity in the image
Most of the existing SAR image denoising methods based on the transform domain simply convert the multiplicative speckle noise into additive noise through logarithmic transformation to estimate the denoising threshold, resulting in insufficient denoising

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Embodiment Construction

[0054] refer to figure 1 , the concrete steps of the present invention are as follows:

[0055] Step 1. Input the SAR image X, and perform L-layer non-subsampling contourlet transformation on it.

[0056] Non-subsampling contourlet transform is a new translation-invariant multi-scale, local and multi-directional over-complete image representation method. The construction of the non-subsampled contourlet transform is based on the non-subsampled tower filter bank and the non-subsampled directional filter bank, and the two parts are independent of each other. A layer of non-subsampling contourlet transformation is performed on the SAR image X, and the process is as follows:

[0057] 1) Input the SAR image X into a non-downsampling tower filter bank to obtain a low-frequency signal and a band-pass signal of one layer of non-downsampling contourlet transformation of the SAR image X;

[0058] 2) Input the band-pass signal of the SAR image X into the non-subsampled direction filte...

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Abstract

The invention discloses a denoising method of synthetic aperture radar image based on a non-lower sampling configuration wave, which is mainly to solve the problem that the image detail is difficult to keep effectively by the existing method, the new method comprises: (1) inputting a SAR image X and performing the L layer non-lower sampling configuration wave transformation; (2) calculating speckle noise variance delta C#-[B] of subband in each high-frequency direction of different dimensions; (3) distinguishing the high-frequency direction subband coefficients into the signal or the noise transformation coefficients by the local average value mean[C1, i(a, b)] high-frequency direction suband coefficient C1 and the i (a, b); (4) reserving the signal part in the judged high-frequency direction subband coefficient C1 and i (a, b) to obtain the denoised high-frequency direction subband coefficient C1 and i (a, b); (5) performing the non-lower sampling configuration wave inverse transformation for the low-frequency subband amd the denoised high-frequency direction subband coefficient C1 and I (a, b) to obtain the denoised SAR image X . The invention can effectively eliminate the coherent speckle noise, meanwhile can effectively keep the image detail, the denoised image has no shake and distortion and can be used for the preprocessing stage of the synthetic aperture radar image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to the application of the technology in the field of synthetic aperture radar Synthetic Aperture Radar image, that is, the field of SAR image denoising, specifically a method for denoising synthetic aperture radar images based on non-subsampling contourlets . This method can be used in the preprocessing stage of SAR images. Background technique [0002] Synthetic aperture radar can image all-weather and all-weather, and has high spatial resolution and strong penetrating ability. SAR images have been widely used in both military and civilian applications. However, due to the inherent coherent speckle noise, SAR images cannot effectively reflect the scattering characteristics of ground objects, which seriously affects the image quality and causes great difficulties for automatic image interpretation. SAR image denoising is a key step in SAR image processing and analysis, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G06T5/00
Inventor 焦李成常霞王爽侯彪刘芳杨淑媛公茂果
Owner XIDIAN UNIV
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