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Realization method based on bayesian non-local mean filter

An implementation method and local average technology, applied in the field of image processing, can solve problems such as Gibbs phenomenon

Inactive Publication Date: 2010-03-03
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the transform domain despeckling algorithm is still essentially a filter based on a fixed window, and Gibbs phenomenon will occur in areas such as edges and lines of the image.

Method used

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Experimental program
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Embodiment 1

[0045] Embodiment 1: the implementation method that is suitable for intensity SAR image filter, comprises the following steps:

[0046] Step 1. Construct the distance formula of the intensity SAR image.

[0047] 1.1) According to the noise model I=RS of the intensity SAR image I , and speckle noise S I Probability density function: p S I ( s ) = L L s L - 1 e - Ls Γ ( L ) , ( s ≥ 0 ) , The conditional...

Embodiment 2

[0082] Embodiment 2: the realization method that is suitable for amplitude SAR image filter, comprises the following steps:

[0083] Step A, constructing the distance formula of the magnitude SAR image.

[0084] A.1) According to the noise model A=RS of the magnitude SAR image A , and speckle noise S A Probability density function: p S A ( s ) = 2 L L s 2 L - 1 e - Ls 2 Γ ( L ) , ...

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Abstract

The invention discloses a realization method based on a bayesian non-local mean filter, belonging to the field of image processing technology and mainly overcoming the contradiction problem of detailmaintenance and smooth degree in the prior spot removing result of SAR images. The realization process comprises the following steps: (1) calculating the distance between a pixel and all of the pixelsin a search area according to a distance formula for the pixel of the input SAR image; (2) calculating the weight of all of the pixels in the search area by using a weight calculating formula according to the calculated distance of all of the pixels; (3) carrying out weighted average on all of the pixels in the search area to obtain a recovery value of the pixel according to the calculated weightof all of the pixels in the search area; and (4) calculating the recovery value of each pixel according to the steps to obtain a spot removing image. Compared with other classical sport removing methods, the invention can better smooth spots and noise, maintain edge and texture details of the SAR image, and can be used for spot removing processing of the SAR images.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a filter which can be used for speckle removal processing on SAR images. Background technique [0002] The image formed by synthetic aperture radar SAR has the characteristics of all-weather, all-time, high resolution and strong penetrating ability. Therefore, this image is widely used in target recognition, transformation detection and water surface surveillance. However, SAR images are corrupted by multiplicative noise, which comes from continuous interference from backscatter radar reflections. This speckle noise destroys the radiometric resolution of SAR images and affects the performance of background analysis and understanding tasks. [0003] The goal of the speckle reduction method is to preserve the characteristic information of the image, such as texture, edge and point object, while removing noise. But this goal is very difficult to achieve due to the multipl...

Claims

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Application Information

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IPC IPC(8): G06T5/00G01S13/90
Inventor 钟桦焦李成李永伟王爽侯彪王桂婷马文萍尚荣华
Owner XIDIAN UNIV
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