Method for detecting movement detection by using edge detection, and for removing ripple noise through medium filtering

An edge detection and motion detection technology, applied in the field of image processing, can solve problems such as blurred details and continuous motion details blurred

Inactive Publication Date: 2006-04-19
SHANGHAI JIAO TONG UNIV
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

This patent only uses the image information in the frame to detect and smooth the noise, which is easy to cause blurring of details in the image, especially the blurring of continuous motion details

Method used

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  • Method for detecting movement detection by using edge detection, and for removing ripple noise through medium filtering
  • Method for detecting movement detection by using edge detection, and for removing ripple noise through medium filtering
  • Method for detecting movement detection by using edge detection, and for removing ripple noise through medium filtering

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Embodiment Construction

[0040] Provide following embodiment in conjunction with content of the present invention:

[0041] as the picture shows, figure 1 It is a schematic diagram of the mosquito noise reduction algorithm involved in the present invention. The noise reduction process is as follows:

[0042] (1) Frame delay units I and II: The frame delay unit I delays the input video signal by one frame, and the frame delay unit II takes the output of the frame delay unit I as input and delays it by one frame, that is, if the input video signal is the (t+1)th frame image, the output of the frame delay unit I is the (t)th frame image, and the output of the frame delay unit II is the (t-1)th frame image.

[0043] (2) Edge detection units I, II, and III: use Laplace operator to perform edge detection on the input (t+1) frame image, t frame image and (t-1) frame image respectively according to formula (2) Detect, and calculate each edge detection threshold according to formula (3), and determine the e...

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Abstract

The invention carries out process in frame for image; then carries out process inter frame for continuous three frames of image, which are processed in frame. The method includes following steps: using Laplace operator to carry out edge detection for image so as to obtain edge information of each pixel; if a pixel is an edge pixel or its more than two neighbor pixels in four pixels around are as edge pixels, then value of the pixel is saved; otherwise, carrying out filtering process for the pixel by using median filter; based on difference between adjacent frames, movement detection is carried out to determine whether pixel in the current frame is moved; if yes, the value is saved; if no, then result of median filter for corresponding points in three frames is as result of filtering the pixel. The invention protects details of image and sharpness furthest so as to raise vision quality of output image.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a method for removing mosquito noise by using edge detection, motion detection and median filtering. Background technique [0002] TV signals have developed to the stage of digital signals, and a series of codec standards have been produced, such as MPEG2, MPEG4 and so on. These standards are all based on block-based DCT transformation and then quantized and compressed, in which information loss is bound to exist. The loss of this information will cause some distortion phenomena in the decoding and reconstruction process of the image, such as block effect, flicker between frames, and flicker at the edge of the image, all of which are caused by DCT transformation compression. These distortions are given different names according to different phenomena, usually called noise, such as block noise, mosquito noise, etc. There are many methods used to deal with th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21H04N7/26H04N19/80
Inventor 郑世宝董云朝王嘉
Owner SHANGHAI JIAO TONG UNIV
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