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Method for removing isolated noise point in video

A technology that isolates noise points and high-frequency noise. It is used in the field of removing isolated noise points in videos. It can solve the problem of not using pixel correlation information, and achieve the effect of maintaining clarity and protecting details.

Active Publication Date: 2006-04-19
INESA ELECTRON
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AI Technical Summary

Problems solved by technology

These filtering techniques all have the disadvantage of blurring edges, and do not take advantage of the correlation information between pixels

Method used

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  • Method for removing isolated noise point in video
  • Method for removing isolated noise point in video
  • Method for removing isolated noise point in video

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Embodiment approach

[0041] Such as figure 1 , Figure 4 and Figure 5 As shown, the present invention provides a kind of method for removing video isolated noise point, comprises the following steps:

[0042] Step 1, calculate the luminance map f (i, j) of video image, wherein, i and j represent respectively the row and column position where current point pixel is in the image;

[0043] Step 2. Use a low-pass filter to low-pass filter the image brightness map f(i, j) to obtain the low-frequency part f of the image brightness map L (i, j); and calculate the high-frequency part f of the image brightness map H (i,j):

[0044] f H (i,j)=f(i,j)-f L (i,j);

[0045] Step 3. Identify the properties of each pixel of the image in sequence, including small high-frequency noise, non-boundary noise, isolated noise points and useful signal of the image, and process accordingly:

[0046] Step 3.1, select a statistical template with a size of 3*3 centered on the current pixel;

[0047] S...

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Abstract

The method includes steps: (1) calculating brightness graph based on the input image; (2) dividing frequency brightness graph of image so as to obtain high frequency segment and low frequency segment; (3) recognizing characters of each pixel in image including high frequency noise in small amplitude, not boundary noise, isolated noise point and useful signal of image, and making relevant process for removing noise. Based on characters of noise, using associated information between pixels, the disclosed method for removing isolated noise point in video carries out image classification. Moreover, using different treatment processes, the invention obtains good effect for removing noises including isolated noise point, not boundary noise and high frequency noise in small amplitude. Meanwhile, under basis of removing noises, the invention reserves detail of image and definition of edges farthest so that removing noise does not blur image.

Description

technical field [0001] The invention relates to a method for removing video isolated noise points, especially aimed at the isolated point salt-and-pepper noise existing in video images. Background technique [0002] In the video system, since the vast majority of TV signal sources at this stage are still analog signal sources, during the recording, filming and transmission of analog signals, due to the limitations of the devices used and the transmission channels, they are often affected by some noise. Interference, including random noise, impulse noise, salt and pepper noise, etc., the existence of these noises seriously affects the visual effect of the image, so removing noise is a very important link in video image processing. [0003] There are generally two methods for removing noise at present, one is to perform spatial domain filtering, and the other is to perform frequency domain filtering. Typical spatial filters include mean filter, median filter, low-pass filter,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21
Inventor 袁野侯钢王国中
Owner INESA ELECTRON
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