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An image preprocessing method to improve the effect of wavelet denoising

An image preprocessing and wavelet denoising technology, which is applied in image data processing, image enhancement, image analysis, etc., can solve the problem of sacrificing algorithm complexity, etc., and achieve improved spatial sampling rate, good applicability, and image wavelet denoising effect Improved effect

Active Publication Date: 2019-02-22
SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT
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Problems solved by technology

[0004] The above-mentioned optimized wavelet denoising methods can usually obtain high denoising quality, but at the same time at the expense of algorithm complexity

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  • An image preprocessing method to improve the effect of wavelet denoising
  • An image preprocessing method to improve the effect of wavelet denoising
  • An image preprocessing method to improve the effect of wavelet denoising

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Embodiment Construction

[0042] The specific embodiment of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0043] It should be noted that, in the following specific embodiments, when describing the embodiments of the present invention in detail, in order to clearly show the structure of the present invention for the convenience of description, the structures in the drawings are not drawn according to the general scale, and are drawn Partial magnification, deformation and simplification are included, therefore, it should be avoided to be interpreted as a limitation of the present invention.

[0044] In the following specific embodiments of the present invention, please refer to figure 1 , figure 1 It is a flowchart of an image preprocessing method for improving wavelet denoising effect of the present invention. Such as figure 1 As shown, a kind of image preprocessing method improving wavelet denoising effect of the present invention co...

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Abstract

The invention discloses an image preprocessing method for improving the wavelet denoising effect, comprising the following steps: step S01: calculating the pixel eigenvalue of a target area in a noisyimage; Step S02: comparing the pixel eigenvalue of the target area with a preset threshold value, and judging the type of the target area; S03, according to the target area type, performing center point adaptive interpolation calculation to obtain the pixel value of the center point interpolation pixel of the target area; Step S04: According to the target area type, the adaptive interpolation calculation of the adjacent points is performed to obtain the pixel value of the adjacent point interpolation pixel outside the center point of the target area. The invention is based on a common waveletdenoising method, and obviously improves the effect of wavelet denoising without introducing a new method and increasing the complexity of the algorithm.

Description

technical field [0001] The present invention relates to the technical field of digital image processing, in particular to an image preprocessing method for improving wavelet denoising effect. Background technique [0002] Wavelet technology is widely used in the field of image denoising. Its characteristic is that it can effectively protect image details while denoising, and reduce the image blurring effect caused by denoising operations. [0003] In order to improve the effect of wavelet denoising, researchers have done a lot of work on wavelet base selection, threshold selection and so on. Among them, in terms of wavelet base optimization, from the simplest haar wavelet base to the complex double-density double-tree complex wavelet, try to make the wavelet base achieve high consistency in terms of symmetry, smoothness, and orthogonality. The wavelet base is applicable to a wide range, and also has efficient feature decomposition capabilities. On the other hand, in terms ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/10G06T2207/20064G06T5/70
Inventor 周涛王修翠李琛王鹏飞余学儒段杰斌方宇傅豪郭奥
Owner SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT
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