Unlock instant, AI-driven research and patent intelligence for your innovation.

An Improved Image Denoising Method Based on Propagation Filter

A filter and image technology, which is applied in the field of image processing, can solve the problems of inaccurate judgment of oblique edges, and does not take into account the propagation mode of oblique direction, etc., and achieve good smoothing effect and denoising effect, good denoising effect, good The effect of the edge protection effect

Active Publication Date: 2022-05-13
XIDIAN UNIV
View PDF13 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the propagation mode of the existing propagation filter in the filtering process can only propagate in the four directions of up, down, left and right, and does not take into account the propagation mode of the oblique direction, so the judgment of the oblique edge is not very accurate

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An Improved Image Denoising Method Based on Propagation Filter
  • An Improved Image Denoising Method Based on Propagation Filter
  • An Improved Image Denoising Method Based on Propagation Filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] See figure 2 , figure 2 It is a flowchart of an improved image denoising method based on a propagation filter provided by an embodiment of the present invention. The image denoising method of the present embodiment includes the following steps:

[0053] S1: Select a pixel among the pixels of the original image as the central pixel a0;

[0054] S2: Obtain the maximum difference value according to the central pixel a0 and other pixels ai in the original image;

[0055] S3: Calculate the weight of each of the other pixel points ai according to the maximum difference value;

[0056] S4: Perform normalization processing on the weights of the center pixel a0 and the other pixels ai;

[0057] S5: Perform a filtering operation on the central pixel point a0 according to the normalized weight to obtain a denoised pixel value of the central pixel point a0;

[0058] S6: Traverse each pixel in turn as the center pixel a0, and execute step S1 to step S5 in sequence to obtain t...

Embodiment 2

[0092] On the basis of the foregoing embodiments, this embodiment takes a local area of ​​5*5 pixels as an example to specifically illustrate the image denoising method of the present invention. See image 3 , image 3 is a schematic diagram of an improved image denoising method based on a propagation filter provided by an embodiment of the present invention. As shown in the figure, point a0 is the central pixel point. When filtering, first use a0 as the starting point, propagate along the eight neighborhoods to find the edge direction, and then continue to propagate outward to find a more accurate edge direction.

[0093] The image denoising method includes:

[0094] Step 1. Calculate the absolute value of the difference between the pixel value of pixel a0 and other pixel points ai and the absolute value of the difference between the pixel values ​​of any adjacent other pixel points ai to obtain the maximum difference value;

[0095] Specifically, with a0 as the filtering ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an improved image denoising method based on a propagation filter, comprising: selecting a pixel in the pixels of the original image as the center pixel; according to the center pixel and other pixels in the original image, obtaining The maximum difference value; calculate the weight of each of the other pixel points according to the maximum difference value; perform normalization processing on the weights of the central pixel point and the other pixel points; The central pixel is subjected to a filtering operation; each pixel is sequentially traversed as the central pixel, and steps S1 to S5 are sequentially executed to obtain a denoised image. The image denoising method of the present invention searches for edge points similar to the center pixel point according to the eight-neighborhood outward propagation method for the center pixel point, can accurately detect more edge directions, and effectively suppresses isolated noise points.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an improved image denoising method based on a propagation filter. Background technique [0002] In the process of image transmission and acquisition, often due to the influence of external and internal 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 useful information that can be extracted from the image is also limited. . [0003] Propagation filter filtering and denoising is mainly carried out in the way of outward propagation centered on the local center point. The filtering weight is not only related to the weight of the previous point, but also related to the pixel difference value between this point and the previous point of propagation and the point Relative to the pixel difference value of the center point. Propagation filter filter denoising In the p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/13G06T7/136
CPCG06T7/13G06T7/136G06T5/70
Inventor 邵晓鹏宗靖国柳鑫王星量李英赵小明
Owner XIDIAN UNIV