Image denoising method

An image and remote sensing image technology, applied in the field of image processing, can solve the problems of easy loss of relevant information, poor noise reduction performance, etc., and achieve the effects of enhanced adaptability, good visual effect, and strong retention ability

Inactive Publication Date: 2018-05-04
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI +1
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Problems solved by technology

[0003] The traditional noise reduction method has a good processing effect on additive noise, but the remote sensing image contains a lot of coherent

Method used

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art belong to the protection scope of the present invention.

[0030] Such as Figure 1-6 As shown, according to a remote sensing image denoising method described in an embodiment of the present invention,

[0031] Include the following steps:

[0032] S1: Perform logarithmic transformation on the initial image: convert the coherent noise of the image into additive noise, that is, convert multiplicative speckle noise into additive noise;

[0033] S2: Perform double-density dual-tree complex wavelet transform row by row on the image after logarithm...

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Abstract

The invention discloses a remote sensing image denoising method. The method comprises the following steps of logarithm transformation, double-density dual-number complex wavelet decomposition, shrinkage coefficient calculation, layer-by-layer processing, double-density dual-number complex wavelet reconstruction, inverse-logarithm transformation and image output. Double-density double-tree complexwavelet transformation, the Bayesian theory and the quantum-derived idea are combined, and double-density double-tree complex wavelet transformation has translation invariance and the anti-aliasing characteristic, is more approximate to continuous wavelet transformation and has higher directivity, so that a mutual promotion effect is achieved after double-density double-tree complex wavelet transformation is combined with the quantum-derived method, the contradiction between spot removing smoothing and detail maintaining is better solved, the quality processed images is improved, an image speckle removing method is simple and effective, the image detail maintaining capability is high, a better visual effect is achieved, high-frequency signals and noise of the images are effectively distinguished, the self-adaptability of local filtering is enhanced, and image edge details are kept to a greater extent.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image denoising method. Background technique [0002] With the continuous development of science and technology, human cognition of remote sensing and the urgent need for scientific development have made our requirements for remote sensing higher and higher. Improving resolution and in-depth application have gradually become a major demand for the development of remote sensing science and technology. The current remote sensing image processing method has the problem that the image quality is not good enough, so it is necessary to study a new image processing method to improve the image resolution and image quality, and the quantum remote sensing image information processing is based on the related theories of quantum information and quantum mechanics. Studying images gives full play to the advantages of quantum computing and provides a new solution for fundame...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/10032
Inventor 毕思文陈浩帅通柯余仙刘嘉颖
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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