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A Method of Image Preprocessing to Improve the Effect of Wavelet Denoising

An image preprocessing and wavelet denoising technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problem of sacrificing the complexity of the algorithm, and achieve the goal of improving the spatial sampling rate, good applicability, and increasing the series space Effect

Active Publication Date: 2022-01-04
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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  • A Method of Image Preprocessing 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 wavelet denoising effect, comprising the following steps: step S01: calculating the pixel feature value of a target area in a noisy image; step S02: combining the pixel feature value of the target area with the pre-processed Set the threshold value for comparison to determine the target area type; step S03: perform center point adaptive interpolation calculation according to the target area type to obtain the pixel value of the center point interpolation pixel of the target area; step S04: according to the target area type, perform Adjacent point adaptive interpolation calculation, to obtain the pixel value of the interpolated pixel of the adjacent point other than the center point of the target area. The present invention is based on a commonly used wavelet denoising method, and obviously improves the effect of wavelet denoising without introducing a new method or 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 Patents(China)
IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/002G06T5/10G06T2207/20064
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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