A restoration method and a device applied to microwave images

A microwave image and image technology, applied in the field of image processing, can solve problems such as irregularities and ripples, and achieve the effects of alleviating parasitic ripples, improving signal-to-noise ratio, and improving image signal-to-noise ratio.

Inactive Publication Date: 2019-01-18
BEIJING AEROSPACE YILIAN TECH DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a restoration method and device applied to microwave images to solve the problem of irregular ripples appearing near the edges of images in image restoration

Method used

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  • A restoration method and a device applied to microwave images
  • A restoration method and a device applied to microwave images
  • A restoration method and a device applied to microwave images

Examples

Experimental program
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Embodiment 1

[0056] refer to figure 1 , shows a flow chart of steps applied to a microwave image restoration method in an embodiment of the present invention, and the specific steps include:

[0057] Step 101: Acquire the original microwave image;

[0058] In this embodiment, the microwave image is an image formed by receiving microwave energy emitted by an object by a microwave radiometer. The imaging microwave radiometer can receive images formed by microwave radiation energy emitted by ground objects with a wavelength of 1-3 cm. The original microwave image is a microwave image obtained by radar. Ways to obtain microwave images can be through terminal equipment, network downloading and other ways.

[0059] Step 102: Preprocessing the original microwave image to obtain a first microwave image

[0060] In this embodiment, microwave images are often disturbed and affected by various noises during the process of generation and transmission, which degrades the image quality, which advers...

Embodiment 2

[0070] refer to figure 2 , shows a flow chart of specific steps applied to a microwave image restoration method in an embodiment of the present invention, and the specific steps include:

[0071] Step 201: Acquire the original microwave image.

[0072] In a specific application, the original microwave image has M rows and N columns, and the size of the point function is 10*10. Using the error analysis parameter estimation, the Gaussian parameter is 0.18.

[0073] Step 202: Wiener filtering is performed on the original microwave image to obtain a first microwave image.

[0074] In the embodiment of the present invention, the preprocessing of the microwave image may also be to perform other filtering on the image, including: median filtering, mean filtering, Gaussian filtering and other filtering methods.

[0075] In a specific application, the Wiener filter is selected to perform denoising processing on the original microwave image to obtain the first microwave image after n...

Embodiment 3

[0114] refer to Figure 5 , shows a structural block diagram of a microwave image restoration apparatus 300 in an embodiment of the present invention. include:

[0115] An acquisition module 310, configured to acquire the original microwave image;

[0116] The preprocessing module 320 is configured to process the original microwave image to obtain a first microwave image.

[0117] Preferably, refer to Image 6 ,exist Figure 5 On the basis of the above, the microwave image restoration device 300 may also include:

[0118] The preprocessing module 320 includes:

[0119] The preprocessing unit 3201 is configured to perform Wiener filtering on the original microwave image to obtain the first microwave image.

[0120] The weight matrix determining module 330 is configured to determine the weight matrix of the first microwave image by using a multi-directional first-order variance gradient operator.

[0121] Preferably, refer to Image 6 ,exist Figure 5 On the basis of th...

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Abstract

The invention provides a restoration method and a device applied to microwave images, belonging to the image processing field. The method comprises the following steps of: acquiring an original microwave image; Preprocessing the original microwave image to obtain a first microwave image; Determining a weight matrix of the first microwave image by using a multi-azimuth first-order variance gradientoperator; determining the number of iterations by the structural similarity evaluation algorithm; Based on the weight matrix and the number of iterations, restoring the first microwave image using aweighted space restoration algorithm to obtain a restored microwave image. The invention is applied to blurred images caused by defocusing, moving, environmental factors and the like in microwave imaging, can improve the signal-to-noise ratio of the microwave images after imaging, can restore the microwave images to a certain extent, improve visualization, at the same time, keep rich image details, and obtain high-quality restored images.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a restoration method and device applied to microwave images. Background technique [0002] Image restoration is an important branch of image processing. Modern imaging quality requirements have also been improved. In the imaging process, microwave image blur caused by scattering, inaccurate focus, and noise in the signal transmission process ,waiting to be solved. Microwave images tend to have low contrast and low resolution. In order to obtain microwave images with higher resolution, the image restoration process is essential. [0003] Lagendijk et al. proposed a restricted adaptive restoration algorithm (also known as a weighted spatial restoration algorithm), with the intention of overcoming ringing ripples and applying local adaptive control to restoration and smoothing. However, when the sharpening function is small, the problem is not obvious. As the size of the sharpening...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/20
CPCG06T5/20G06T2207/10004G06T2207/20004G06T5/70
Inventor 张婷婷侯培培李世超屈俭贾渠郝丛静苗守功
Owner BEIJING AEROSPACE YILIAN TECH DEV
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