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Method for de-noising image

An image and window technology, applied in the field of image denoising

Active Publication Date: 2011-04-27
四川九洲投资控股集团有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention overcomes the problems of the prior art that the removal of impulse noise will cause the loss of image detail information and the image becomes blurred, so it is necessary to provide an image removal noise method

Method used

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Embodiment Construction

[0010] The present invention will be further elaborated below in conjunction with the accompanying drawings. The invention provides an image denoising method. It consists of the following steps:

[0011] Step A: Calculating the joint probability distribution P(I,J) of the image;

[0012] Step B: Determine the grayscale threshold range [LI, UI] according to P(I, J);

[0013] Step C: W i,j It is a window of N*N, the coordinates of its center point are (i, j), and x is used to represent the window W i,j The center pixel point of the window W i,j Move to the upper left corner of the image;

[0014] Step D: For W i,j The N*N pixels in are sorted according to the size of the gray value, and the gray value J corresponding to the median (N*N+1) / 2 of the sorted gray value is found, if J falls in step B The point within the threshold range [LI, UI] is not processed; otherwise, the window W i,j The center point x is replaced by the gray value J.

[0015] The method for image den...

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Abstract

The invention relates to a method for processing a video image, and discloses a method for de-noising an image. The method comprises the following steps of: A, calculating the joint probability distribution P(I,J) of the image; B, determining the threshold range [LI,UI] of gray scale according to the P(I,J); C, ensuring that Wi,j is a N*N window, the coordinate of a central point of the window is (i,j), x is used for representing the central pixel point of the window Wi,j, and the window Wi,j moves to the top left corner of the image; and D, sequencing N*N pixel points in the Wi,j according to gray scale values, finding a gray scale value J corresponding to a median (N*N+1) / 2 of the sequenced gray scale values, not processing the pixel point if J is in the threshold range [LI,UI] in the step B, and replacing the central point x of the window Wi,j with the gray scale value J if J is not in the threshold range [LI,UI]. The method has the advantage of solving the problems that image detail information is lost and the image blurs when pulse noise is removed by the conventional filtering method.

Description

technical field [0001] The invention relates to a video image processing method, in particular to an image denoising method. Background technique [0002] Video analysis and recognition technology is widely used in the field of intelligent transportation. Video analysis and recognition (video analysis and recognition) technology refers to the use of computers to perform calculations and analysis from videos through calculation algorithm software, extract useful information in videos, and complete this process. A technology of information extraction and understanding, the noise in the image will hinder people's understanding of the image, and it will also prevent computer vision technology (CV, Computer Vision) from accurately extracting useful information in the video, and the purpose of image denoising is to remove image The noise in the image can improve people's understanding of the image, and improve the extraction and understanding of further useful information from the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 王德鹏范高生
Owner 四川九洲投资控股集团有限公司
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