Hybrid remote sensing image enhancement method based on NSST domain

A remote sensing image, linear enhancement technology, applied in the field of image processing, can solve the problems of inability to effectively capture image contour information, limited directionality, etc., to improve visual effects, prevent excessive enhancement, and enhance clarity.

Inactive Publication Date: 2018-03-30
XINJIANG UNIVERSITY
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  • Claims
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Problems solved by technology

Among them, the wavelet transform has become a research hotspot because of its good time-frequency locality and multi-resolution characteristics, but because of its limited directionality, it cannot effectively capture the contour information of the image.

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  • Hybrid remote sensing image enhancement method based on NSST domain
  • Hybrid remote sensing image enhancement method based on NSST domain
  • Hybrid remote sensing image enhancement method based on NSST domain

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Embodiment Construction

[0019] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0020] Such as figure 1 As shown, a hybrid remote sensing image enhancement method based on NSST domain includes:

[0021] Step S1, first use the top hat transformation and bottom hat transformation to enhance the overall contrast of the remote sensing image; because the contrast of the remote sensing image is insufficient, first use the top hat transformation and the bottom hat transformation to enhance the preprocessing of the remote sensing image to enhance the overall contrast of the image; top hat transformation Subtract the opening operation from the original image, namely The bottom hat transformation uses the closing operation of the original image to subt...

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Abstract

The invention discloses a hybrid remote sensing image enhancement method based on an NSST domain, which includes the following steps: S1, enhancing the overall contrast of a remote sensing image through top-hat transform and bottom-hat transform; S2, decomposing the remote sensing image of which the overall contrast is enhanced into multi-scale high-pass and low-pass sub-band coefficients throughNSST (Non-subsampled Shearlet Transform); S3, carrying out adaptive threshold de-noising on the high-frequency sub-band coefficient, and linearly enhancing the de-noised high-frequency sub-band coefficient; and S4, carrying out inverse NSST according to the high-frequency sub-band coefficient processed in S3 and the low-pass sub-band coefficient obtained in S2, and using a parameterized logarithmic image processing (PLIP) model to enhance the high-frequency sub-band coefficient and the low-pass sub-band coefficient after inverse NSST in order to highlight the edge detail information of the image. Therefore, the visual effect of the remote sensing image is significantly improved, and the sharpness of the remote sensing image is effectively enhanced.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a hybrid remote sensing image enhancement method based on NSST domain. Background technique [0002] Due to the influence of factors such as sensors and the environment, remote sensing images will produce some noise interference during the imaging process, which will cause problems such as insufficient contrast and loss of details in the image. Therefore, the remote sensing image must first be enhanced and preprocessed. At present, there are two kinds of image enhancement methods: space domain and transform domain. The method based on space domain directly processes the pixels of the image to enhance the image. It is simple and fast, but it amplifies the noise while enhancing the contrast. The method based on the transform domain has attracted much attention in the field of image enhancement because of its good signal and noise separation characteristics. Among them, wavelet tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002
Inventor 张兰花贾振红
Owner XINJIANG UNIVERSITY
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