DR image denoising method based on wavelet transformation and system thereof

A technology of wavelet transform and image, applied in the field of denoising system, can solve the problems of soft threshold method edge blurring, pseudo-Gibbs effect, etc., achieve good edge information, remove noise, and improve the effect of signal-to-noise ratio

Inactive Publication Date: 2012-09-12
CHONGQING UNIV
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Problems solved by technology

[0010] Although the two functions described above, namely the hard threshold and soft threshold functions have been widely used in practice, they have some shortcomings: the hard threshold method can well preserve local features such as image edges, but the image will appear vibration. Visual distortions such as bells and pseudo-Gibbs effects; the processing results of the soft threshold method are relatively smoother, but the soft threshold method will cause distortion such as edge blur

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  • DR image denoising method based on wavelet transformation and system thereof
  • DR image denoising method based on wavelet transformation and system thereof
  • DR image denoising method based on wavelet transformation and system thereof

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[0044] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0045] The DR image denoising method based on wavelet transform of the present invention comprises the following steps:

[0046] Step 1: Read the image data to be processed;

[0047] Step 2: Determine the wavelet and the number of layers of wavelet decomposition, and calculate the wavelet decomposition coefficient of the signal containing noise;

[0048] Step 3: Select a threshold value for each layer coefficient, and use soft threshold value to process the image. The shrinkage function expression of soft threshold value is as follows:

[0049] η ( w ) = w ...

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Abstract

The invention discloses a DR image denoising method based on wavelet transformation. The method comprises the following steps: (1) reading image data to be processed; (2) determining wavelet and a number of layers of wavelet decomposition, and calculating a wavelet decomposition coefficient containing a noise signal; (3) choosing a threshold for each layer of coefficient, using an improved soft threshold to process an image; (4) carrying out wavelet reconstruction to obtain a first layer of A1, H1, V1 and D1; (5) carrying out classic hard threshold filtering on the first layer of H1, V1 and D1; and (6) using a coefficient after filtering to carry out reconstruction again to obtain a final image. A proposed method by the invention is more flexible, shortcomings of a hard threshold function and a soft threshold function can be overcome through a smoothing function and hard threshold filtering, noise can be removed, edge information of the image can be retained well, a signal-to-noise ratio of image is improved, and the method is a good processing scheme.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a wavelet transform-based DR image denoising method, and also relates to a denoising system. Background technique [0002] The problem of signal denoising has always been an important and popular topic. Now there are many methods of signal denoising, such as Kalman filter method, Wiener filter method, spectral subtraction method, etc. Wavelet analysis is a new method developed in recent years. An excellent mathematical tool, through the wavelet transform, the characteristics of the new Ahong are assigned to the wavelet transform coefficients of different scales, and then according to the analysis and processing of the wavelet transform coefficients, the signal can be compressed, singularity detected and reduced. noise. The wavelet transform, especially the orthogonal wavelet transform, has a strong de-data correlation. It can concentrate the energy of the signal in some...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张爱民魏彪
Owner CHONGQING UNIV
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