A wavelet denoising method with variable threshold

A technology of wavelet denoising and thresholding, applied in image data processing, instrumentation, computing, etc.

Active Publication Date: 2019-01-18
ANHUI UNIV OF SCI & TECH
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Problems solved by technology

This method organically combines soft and hard threshold functions together, and achieves a good denoising effect and improves the signal-to-noise ratio of the image, but it still cannot solve the shortcomings of the soft and hard threshold functions themselves.

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  • A wavelet denoising method with variable threshold
  • A wavelet denoising method with variable threshold
  • A wavelet denoising method with variable threshold

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] figure 1 and figure 2 They are the hard and soft threshold function diagrams of wavelet respectively. When it is used for image denoising, because the hard threshold function is discontinuous at the threshold point, the reconstructed image will appear pseudo-Gibbs effect, ringing and other visual distortion. However, there is a constant deviation between the wavelet signal processed by the soft threshold function and the wavelet signal of the origina...

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Abstract

The invention discloses a wavelet denoising method with variable threshold value, comprising five steps. The method comprises: Step 1, inputting the original image and adding the corresponding Gaussian noise; step 2, selecting a wavelet basis function and determining that number of layers O of wavelet decomposition: decomposing the noise image S to obtain a low-frequency coefficient A1 of the first lay, horizontal and vertical high-frequency coefficients H1 and V1, and diagonal high-frequency coefficient D1; decomposing A1 to obtain The second layer low frequency coefficient A2, the horizontaland vertical high frequency coefficients H2 and V2, and the diagonal high frequency coefficient D2; decomposing A2 to obtain The third layer low frequency coefficients A3, horizontal and vertical high frequency coefficients H3 and V3 and diagonal high frequency coefficients D3 ; decomposing sequentially until O layer; step 3, selecting the combined wavelet threshold and wavelet threshold functionwith straight line (shown in the description) as asymptotic line to process wavelet coefficients; step 4, carrying out wavelet reconstruction on the wavelet coefficients after threshold quantization;Step 5, outputting the denoised image. The invention can improve the precision of wavelet transform processing noise signal, effectively improve the de-noising effect of the image, and obtain high-quality de-noising image.

Description

technical field [0001] The invention relates to the denoising field of digital image processing, in particular to a wavelet denoising method with variable threshold. Background technique [0002] During the formation, recording, processing and transmission of images, they are easily affected by noise, which leads to the degradation of image quality, makes the image blurred, and even submerges image features. posed difficulties. Therefore, before image processing, noise removal is a key preprocessing link. In order to obtain high-quality digital images, it is necessary to denoise the images, to keep the integrity of the original information (that is, the main features) as much as possible, and to remove useless information in the signal. Therefore, noise reduction processing has always been a hot spot in image processing. [0003] Wavelet denoising is generally divided into three categories. The first category is to use the wavelet transform modulus maximum method for imag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20064G06T5/70
Inventor 赵佰亭王风郭永存贾晓芬黄友锐
Owner ANHUI UNIV OF SCI & TECH
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