Self-adaptive motion detection method based on image block statistics
A technology for motion detection and image segmentation, applied in the field of video processing, can solve problems such as motion detection errors and noise, achieve accurate judgment and improve the effect of de-interlacing
Active Publication Date: 2013-02-27
SICHUAN PANOVASIC TECH
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Problems solved by technology
The judgment of motion and stillness is often obtained by comparing the inter-field or inter-frame difference with a threshold, and this threshold is fixed in many methods, so it is easy to cause motion detection errors in different scenes. cause noise
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[0015] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.
[0016] figure 1 It is a flow chart of a specific embodiment of an adaptive motion detection method based on image block statistics in the present invention.
[0017] like figure 1 As shown, in this embodiment, the adaptive motion detection method based on image block statistics of the present invention includes the following steps:
[0018] 1. Calculation of difference between brightness fields
[0019] In this embodiment, the brightness inter-field difference value of the present invention is input based on 4 fields of video images. Let mark F n , F n+1 , F n-1 , F ...
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The invention discloses a self-adaptive motion detection method based on image block statistics. The method comprises the steps of confirming whether a scene changes or not according to luminance mean difference of existing pixel point location inter-field image sub-blocks, then according to the fact that the scene changes or not, selecting small or large threshold values confirmed according to the number of difference pixels existing in the inter-field image sub-blocks, finally comparing luminance component inter-field difference values of pixel point locations and confirmed threshold values of corresponding inter-field image sub-blocks, and performing detection to obtain a motion state of existing pixel points. The threshold values of the inter-field image sub-blocks adapt to video sequence positions where the existing pixel points are located, namely self-adaptive, so that the motion state of the pixel points is accurately judged, the defect that a group of fixed inter-field image threshold values are adopted to compare with the luminance component inter-field difference values of the pixel point locations in the prior art, motion detection errors are easily caused and accordingly noise is caused is overcome, and the de-interlacing efficiency is improved.
Description
technical field [0001] The invention belongs to the technical field of video processing, and more specifically relates to an adaptive motion detection method based on image block statistics in video post-processing for converting interlaced video signals to progressive video. Background technique [0002] Due to the limitation of transmission bandwidth, the TV signals sent by TV stations are not complete images, but a scene is divided into two parts, odd field and even field, and sent in time-sharing, thus generating interlaced video signals. However, with the continuous development of digital signal processing technology and the emergence of wide-screen flat-panel TVs, people's requirements for TV display quality are getting higher and higher. When the interlaced signals sent by TV stations are displayed on current high-end flat-panel TVs, severe screen flicker will occur. , sawtooth and other serious problems. De-interlacing technology, that is, interlaced-to-progressive ...
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Inventor 刘成强刘强樊鹏
Owner SICHUAN PANOVASIC TECH