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Remote-sensing picture interpolation method based on small wave fractal

A technology of remote sensing image and interpolation method, applied in image enhancement, image data processing, electromagnetic wave re-radiation and other directions, can solve the problem of unable to maintain texture information, reduce smoothing effect, etc., to improve spatial resolution, accurate artificial and machine solutions. Translation results, the effect of improving the application level

Inactive Publication Date: 2007-01-10
GRADUATE SCHOOL OF THE CHINESE ACAD OF SCI GSCAS
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Problems solved by technology

Although fractal can effectively reduce the smoothing effect and maintain the texture information of the original image, it still has obvious smoothing effect after multiple fractal interpolation and cannot maintain the texture information

Method used

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  • Remote-sensing picture interpolation method based on small wave fractal
  • Remote-sensing picture interpolation method based on small wave fractal
  • Remote-sensing picture interpolation method based on small wave fractal

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Embodiment Construction

[0033] The specific implementation scheme of the remote sensing image interpolation method based on wavelet fractal is as follows: figure 1 , figure 2 As shown, the specific implementation plan is:

[0034] Firstly, the first-level wavelet transform is performed on the input remote sensing image. Remote sensing image x in figure 2 In 11, wavelet transform is performed to obtain a low frequency component LL 1 and three high frequency components LH 1 、HL 1 and HH 1 . The selected wavelet function is a separable function, that is, a two-dimensional wavelet function. The two-dimensional wavelet function can be decomposed into the product of two one-dimensional wavelet functions, so the wavelet transform of the remote sensing image is equivalent to performing one-dimensional wavelet transform on the row and column of the image respectively (in image reconstruction, the inverse wavelet transform is carried out in the corresponding order. transformation, that is, perform on...

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Abstract

A wavelet fractal based on remotely sensed image interplation method adopts wavelet analysing and fractal technology adjoint to realize remotely sensed image interplation. It contains firstly making wavelet conversion to remotely sensed image to obtain remotely sensed image one low-frequency component and three high frequency component, dividing each high frequency component into mutually exclusive subimage block, utilizing image fractal character to calculate each subimage block fractal parameter and making self adaptive fractal interplation to every subimage block, then merging high frequency component subimage block and original image after fractal interplation, finally making inverse wavelet conversion to merged image to obtain high resolution remotely sensed image processed by wavelet fractal interplation.

Description

technical field [0001] The invention proposes a remote sensing image interpolation method based on wavelet fractal in the field of image processing. The remote sensing image interpolation is realized by combining wavelet analysis and fractal technology. Wavelet fractal interpolation is to use fractal similarity transformation on the remote sensing image on the basis of wavelet transform, and then obtain an interpolated image with higher spatial resolution than the original image through inverse wavelet transform. It can effectively overcome the smoothing effect caused by traditional interpolation methods (such as spline interpolation and bilinear interpolation), and maintain the rich texture and object edges of remote sensing images. [0002] The remote sensing image interpolation is realized by combining wavelet analysis and fractal technology. Firstly, wavelet transform is performed on the remote sensing image to obtain a low frequency component and three high frequency co...

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Application Information

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IPC IPC(8): G06T5/00G01S17/89
Inventor 凃国防张灿刘笑宙
Owner GRADUATE SCHOOL OF THE CHINESE ACAD OF SCI GSCAS
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