SAR image noise suppression method based on joint sparse representation and residual fusion

An image noise and joint sparse technology, applied in the field of image processing, can solve the problems that affect the overall effect of the image, it is difficult to distinguish speckle noise from the actual target, and the bright spot is difficult to maintain.

Active Publication Date: 2014-11-19
XIDIAN UNIV
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Problems solved by technology

[0005] 1. The details of the image are poorly maintained, the edges of the image are blurred, and the bright spots are difficult to maintain
[0006] 2. The denoising of the smooth area of ​​the

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  • SAR image noise suppression method based on joint sparse representation and residual fusion
  • SAR image noise suppression method based on joint sparse representation and residual fusion
  • SAR image noise suppression method based on joint sparse representation and residual fusion

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Embodiment Construction

[0036] refer to figure 1 , the implementation steps of the present invention are as follows:

[0037] Step 1: Block matching is performed on the input image.

[0038] 1a) For each point c in the input SAR image c i,j , take it as the center point to select a neighborhood with a size of 8*8, and convert the neighborhood block into a vector and record it as x i,j , where i, j are the row and column coordinates in the image c;

[0039] 1b) To input each point c in the SAR image c i,j A square search window Δ with a scale of 19*19 is obtained as the center, and the similarity of all points is calculated within the search window Δ. The similarity calculation formula is as follows:

[0040] w ( x i , j - y u , v ) = ...

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Abstract

The invention discloses an SAR image noise suppression method based on joint sparse representation and residual fusion and mainly solves the problems of insufficient speckle noise suppression and poor detail keeping of the conventional SAR image noise suppression method. The method disclosed by the invention comprises the following steps: (1), performing block-matching on images to obtain a similar set; (2), performing local variance estimation on the images; (3), performing joint sparse representation on the similar set through local variance and the WSOMP method, so as to obtain a sparse coefficient, and calculating a residual set; (4), performing residual fusion on the residual set, and performing noise reduction through the wavelet soft threshold algorithm to obtain the fused residual; (5), updating a dictionary through the fused residual and the sparse coefficient; (6), performing image reconstruction on the similar block set through the undated dictionary to obtain a de-noised block set; (7), returning the de-noised block set to the original positions of the images, so as to obtain de-noised images. The SAR image noise suppression method obviously improves the SAR image speckle noise reduction effect and can be used for SAR image target recognition and image enhancement.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a SAR image noise suppression method, which can be used for SAR image denoising containing multiplicative noise and self-adaptive dictionary learning. Background technique [0002] With the advancement of science and technology, especially the rapid development of computer technology, digital image processing technology has opened up a new world, and has achieved great results in both military and civilian applications. Such as synthetic aperture radar image SAR, remote sensing image, infrared image and so on. Synthetic Aperture Radar (SAR) is a high-resolution remote sensing imaging radar. Its working mode has the characteristics of all-weather, all-time, multi-polarization, and multi-band. Surface and vegetation collect underground information, so it has developed rapidly in recent years, and has outstanding strategic significance in national defense, environment, and...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 钟桦焦李成马可田小林王爽侯彪熊涛马文萍刘红英
Owner XIDIAN UNIV
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