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Method and device for eliminating noise

A noise removal and noise technology, applied in the field of image processing, noise removal method and device, can solve the problem of inability to achieve noise removal and the like

Inactive Publication Date: 2013-03-13
HUAWEI TECH CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

For example, for sensor imaging, the noise model has both signal-independent Gaussian noise components and signal-dependent Poisson noise components. Therefore, it is impossible to directly use the denoising method based on the Gaussian noise assumption. Efficient denoising of mixed noise with signal-independent noise components

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  • Method and device for eliminating noise

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Embodiment Construction

[0060] figure 1 It is a schematic flowchart of a noise elimination method according to an embodiment of the present invention. Such as figure 1 As shown, the noise elimination method includes:

[0061] 101. Based on the mixed noise model, obtain parameter estimation values ​​of the noise standard deviation function of the first signal to be noise-eliminated, to obtain an estimated noise standard deviation function;

[0062] 102. Perform variance stabilization transformation on the first signal according to the estimated noise standard deviation function to obtain a second signal whose noise is signal-independent noise;

[0063] 103. Denoise the second signal.

[0064] 104. Perform the inverse transformation of the variance stabilization transformation on the denoised second signal, and complete the noise elimination of the first signal.

[0065] Hereinafter, taking the mixed noise model of sensor imaging as an example, the above steps 101-104 are described in detail.

[0066] Specific...

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Abstract

The embodiment of the invention provides a method and device for eliminating noise. The method comprises the following steps of: obtaining a parameter estimated value of a noise standard deviation function of a first signal with noise to be eliminated based on a mixed noise model, so that an estimated standard deviation function is obtained; carrying out variance stabilization transformation on the first signal according to the estimated noise standard deviation function to obtain a second signal with noise being signal-uncorrelated noise; denoising the second signal; carrying out inverse transformation of the variance stabilization transformation on the denoised second signal, so that the noise of the first signal is eliminated. The embodiment of the invention provides the method and device for eliminating noise, so that mixed noise containing both a signal-correlated noise component and a signal-uncorrelated noise component is effectively eliminated.

Description

Technical field [0001] The present invention relates to image processing technology, in particular to a method and device for eliminating noise, and belongs to the field of communication technology. Background technique [0002] Image denoising has always been a hot research issue in the field of image processing. [0003] Traditional image denoising methods are mostly based on the idea of ​​spatial local filtering, such as mean filtering, Gaussian filtering, bilateral filtering and so on. Spatial local filtering is based on the assumption that adjacent pixels in space generally have relatively similar gray values. Noise is removed by weighted averaging the gray values ​​of pixels and neighboring pixels. Since the assumption that the pixels adjacent to the spatial position generally have relatively similar gray values ​​is only applicable to the smooth part of the image, but not to the detailed part of the image (edges, regions with strong texture, etc.), local filtering methods a...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/00G06T2207/20076G06T5/70
Inventor 钱沄涛叶敏超韩明臣
Owner HUAWEI TECH CO LTD
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