Variance information-based image denoising method

An image and variance technology, applied in the field of image denoising based on variance information, can solve the problem of poor weakening effect of isolated noise points by bilateral filtering method, and achieve the effect of weakening noise information and smoothing edgeless areas

Active Publication Date: 2018-11-06
XIAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, although the bilateral filtering method can preserve the edge of the image, it does not fit the actual image edge gradient at the upper and lower junctions of the edge, and the bilateral filtering method is not effective at weakening isolated noise points.

Method used

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  • Variance information-based image denoising method

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Embodiment 1

[0043] See figure 1 , figure 1 It is a schematic flowchart of an image denoising method based on variance information provided by an embodiment of the present invention.

[0044] An image denoising method based on variance information, comprising the following steps:

[0045] (a) obtaining the filtering center point of the image to be processed;

[0046] (b) Obtain the filtering window and several filtering directions corresponding to the filtering center point;

[0047] (c) acquiring filtering pixels in the filtering direction;

[0048] (d) obtaining the normalized filtering weight of the filtering pixel;

[0049] (e) obtaining the filter value of the filter center point according to the filter pixel and the normalized filter weight;

[0050] (f) Taking each pixel of the image to be processed as a filter center point in turn, and repeating steps (b) to (e) to complete image denoising.

[0051] In the embodiment of the present invention, eight directions are generated ba...

Embodiment 2

[0054] see again figure 1 , on the basis of the foregoing embodiments, this embodiment focuses on a detailed description of an image denoising method based on variance information.

[0055] (S10) Obtain the filtering center point of the image to be processed.

[0056] In a specific embodiment, a pixel point of the image to be processed is used as a filtering center point, the filtering center point is denoted as I(i, j), and the filtering radius is denoted as r.

[0057] (S20) Obtain a filtering window and several filtering directions corresponding to the filtering center point.

[0058] In a specific embodiment, the size of the filtering window is set to 5×5, and the filtering radius r=2, that is, a 5×5 pixel matrix is ​​used as an area to be processed.

[0059] In a specific embodiment, eight directions based on the filtering center point, namely 0 degree, 45 degree, 90 degree, 135 degree, 180 degree, 225 degree, 270 degree and 315 degree, are taken as the filtering direct...

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Abstract

The invention relates to a variance information-based image denoising method. The method comprises the following steps of: (a) obtaining a filter center point of a to-be-processed image; (b) obtaininga filter window and a plurality of filter directions corresponding to the filter center point; (c) obtaining filter pixel points of the filter directions; (d) obtaining normalized filter weights of the filter pixel points; (e) obtaining a filter value of the filter center point according to the filter pixel points and the normalized filter weights; and (f) taking each pixel point of the to-be-processed image as the filter center point in sequence and repeating the steps (b) to (e) to complete image denoising. According to the method, noises in images can be effectively filtered and edge information of the images is kept at the same time.

Description

technical field [0001] The invention belongs to the field of display technology, in particular to an image denoising method based on variance information. Background technique [0002] In the process of image transmission and acquisition, often due to factors such as working environment conditions, the image is disturbed by noise, so that part of the information of the image is destroyed, and the information that humans can extract from the image is also limited. At present, the widely used denoising methods include median filter, mean filter, Gaussian filter, bilateral filter, adaptive Wiener filter, wavelet denoising and so on. Among them, median filtering, mean filtering and Gaussian filtering will bring a certain degree of blurring to the edge while filtering out noise; bilateral filtering has a good effect of edge preservation and denoising, but its calculation process is complicated, which is not conducive to hardware implementation; The amount of computation to adapt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/20021G06T2207/20024
Inventor 周筱媛
Owner XIAN UNIV OF SCI & TECH
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