Dual-scale image denoising method of golden division ratio-based diamond-shaped template

A golden section, dual-scale technology, applied in the field of image processing, can solve the problem of time-consuming sorting, and achieve the effect of preventing overflow problems and reducing computational complexity.

Inactive Publication Date: 2013-08-14
HEBEI NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional median filter algorithm does not use the average value to replace the gray value of the pixel, and retains the edges and contours of the image, but it is time-consuming in sorting

Method used

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  • Dual-scale image denoising method of golden division ratio-based diamond-shaped template
  • Dual-scale image denoising method of golden division ratio-based diamond-shaped template
  • Dual-scale image denoising method of golden division ratio-based diamond-shaped template

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Experimental program
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Embodiment Construction

[0067] The concrete steps of this embodiment are as follows:

[0068] (1) Read in a frame of image, let the first pixel be the current pixel;

[0069] (2) Determine whether the current pixel is a noise point:

[0070] Execute step (3) when the current pixel point is a noise point;

[0071] When the current pixel point is not a noise point, perform step (2.1);

[0072] (2.1) Set the next pixel as the current pixel, and then return to step (2);

[0073] The method of judging the noise point is the selection interval method, that is, the gray value of the pixel point between (0-5) or (250-255) is a noise point, otherwise it is a signal point;

[0074] (3) With the noise point as the center, construct a diamond-shaped template based on the golden ratio:

[0075] The major axis a of the rhombus template is the horizontal axis, the minor axis b is the longitudinal axis, and the ratio of the major axis a to the minor axis b is 1:0.618;

[0076] Then determine the initial rhombus...

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Abstract

The invention relates to a dual-scale image denoising method of golden division ratio-based diamond-shaped template. The technical points of the invention are that the diamond-shaped template is adopted, adaptive template extension is performed, and denoising is performed by utilizing the normalized weight of the distance weights and gray level weights of signal points which take a part in calculation. The invention has the advantages that the distance variance from all signal points to a center point which take part in calculation in the diamond-shaped template is small, so that the signal points with far distance can avoid taking part in filter calculation as far as possible; part of signal points are taken to take part in calculation as per noise density, so that not only the calculation complexity is reduced, but also influence of other possible noise and edges in the template to a filter effect is reduced; and the number ratio of the horizontal pixels to vertical pixels in the template is 1 to 0.618, so that the classical philosophy of mathematics is fully utilized, and the visual habit of people is conformed. The experimental results show that the dual-scale image denoising method reduces low-density noise and high-density noise, and the higher the noise density is, the better the relative processing effect is.

Description

[0001] technical field [0002] The invention relates to a rhombus template dual-scale image denoising method based on the golden ratio, and belongs to the technical field of image processing. Background technique [0003] With the rapid development of computer technology and network technology, the amount of information transmitted has also increased dramatically. Image is the main information carrier, so various image processing technologies have been developed accordingly. During the process of digitalization and transmission, images are often interfered by imaging equipment and the external environment, which makes the image contain noise. Noisy images can adversely affect the use and analysis of subsequent images. Therefore, image denoising is an important research content of digital image processing. The current common denoising method is implemented by performing various calculations (filtering) based on the pixels inside a specific template. [0004] Among th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张有会王志巍李俊红刘淑娟董蕊赵晔郭晓文吴朋波
Owner HEBEI NORMAL UNIV
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