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Translation invariant wavelet remote sensing image restoration method in combination with reciprocal cells

A reciprocal unit cell and translation-invariant technology, applied in the field of remote sensing image restoration, can solve the problems of image loss of high-frequency effective information, blurring, etc.

Active Publication Date: 2013-06-19
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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Problems solved by technology

However, the commonly used anti-aliasing method is to use a low-pass filter to truncate the overlapping spectral region, which will make the image blurred due to the loss of high-frequency effective information

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  • Translation invariant wavelet remote sensing image restoration method in combination with reciprocal cells
  • Translation invariant wavelet remote sensing image restoration method in combination with reciprocal cells
  • Translation invariant wavelet remote sensing image restoration method in combination with reciprocal cells

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Embodiment Construction

[0048] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0049] The frequency-domain grid corresponds to the spatial grid, and the reciprocal unit cell is a cell-like unit formed after paving the entire plane to constrain the shape of the frequency-domain grid. These regular small units are called reciprocal crystals. cell.

[0050] The reciprocal unit cell restoration method is a frequency-domain restoration method for remote sensing images based on a remote sensing platform. It removes noise, aliasing and blurring in images by constraining the spectrum. The restoration method of the reciprocal unit cell is strictly in accordance with the sampling theorem, the shape of the system MTF and the sampling method of the sensor, and constrains the spectral unit, so as to complete the restoration of the remote sensing image.

[0051] The invention solves the difficult problem of inability to remove aliasing...

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Abstract

The invention relates to a translation invariant wavelet remote sensing image restoration method in combination with reciprocal cells. According to the transfer function model of the imaging system, the advantages of shift invariance and capability of multidirectional resolution of the translation invariant wavelet are fully utilized, aliasing items are considered into the image restoration model, and noise and fuzz are used as the factors for causing image deterioration, thereby achieving the restoration results of removing aliasing in frequency domain and removing white noise and fuzz in a time-frequency domain. in the method, the quality of the restored image is greatly enhanced, image repetition feature is perfect and the image restoration efficiency is enhanced.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image restoration in optical remote sensing technology, in particular to a translation invariant wavelet remote sensing image restoration method combined with reciprocal unit cells. Background technique [0002] It is difficult to greatly improve the hardware accuracy of existing aerospace cameras, and the imaging system is compensated by using ground image restoration methods. In high-resolution remote sensing images, high-frequency information is abundant, and it is difficult to effectively recover the high-frequency details of the image with general restoration methods. [0003] In the high frequency region of the spectrum, spectral overlap often occurs. Aliasing has a great impact on high-resolution image quality and should be considered for removal. However, a commonly used anti-aliasing method is to use a low-pass filter to truncate the overlapped spectral region, which will cause t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 张智
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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