Real-time video image stabilizing method based on integral image characteristic block matching

A technology of real-time video and integral graph, applied in image communication, image enhancement, image data processing and other directions, can solve the problems of filtering effect, inconsistent with uniform motion law, slow speed, etc., to improve robustness and enhance anti-illumination. and image noise ability, the effect of fast calculation speed

Inactive Publication Date: 2011-01-19
SHANGHAI WENXIANG INFORMATION TECH
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Problems solved by technology

[0004] Finally, after searching the prior art documents, it was found that Marius Tico published "Constraint motion filtering for videostabilization" (video stabilization method based on constrained motion filtering, image processing IEEE International Conference), this paper adopts the feature point tracking method and the Kalman motion filter method with constraints. , the precision is high, but the speed is slow. At the same time, the Kalman motion filtering method based on the uniform velocity model is adopted in this paper. When the motion model matches, the filtering effect is better, but once the model changes, the filtering effect will be greatly affected. The camera often does not conform to the law of uniform motion during the shooting process

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  • Real-time video image stabilizing method based on integral image characteristic block matching
  • Real-time video image stabilizing method based on integral image characteristic block matching
  • Real-time video image stabilizing method based on integral image characteristic block matching

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Embodiment Construction

[0017] Figure 1(a)-1(h) It is an overall block diagram of a real-time video image stabilization method based on integral image feature block matching proposed by the present invention. The specific implementation details of each part are as follows:

[0018] Figure 1(a) is a feature description diagram of the integral graph

[0019] 1. Integral image feature (the corresponding English is Integral Image Feature)

[0020] As shown in Figure 1(a), the so-called integral map features, the difference between the sum of the gray value of the pixels in the white rectangular area in the figure and the sum of the gray value of the pixels in the black rectangular area is the feature of the integral map. There are 5 integral map features, of course, it may need to be set in practice. The benefits of this feature are reflected in: (1) the sum of pixel values ​​in the area can effectively resist the influence of image noise, (2) the difference between the pixel sums in adjacent rectangu...

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Abstract

The invention discloses a real-time video image stabilizing method based on integral image characteristic block matching, which enhances the capability of preventing illumination and image noise shooting equipment, improves the robustness of global motion parameter estimation and further improves the video image stabilizing capability of the shooting equipment in a complex environment. The method comprises the following steps of: 1. carrying out block division on the current frame; 2. describing each block content by utilizing integral image characteristics; 3. carrying out block matching motion estimation on each block by using an integral image characteristic error minimum as a matching criterion; 4. calculating a motion vector of the block to obtain a global motion parameter of the current frame relative to the previous frame; 5. carrying out motion filter processing on the global motion parameter; and 6. carrying out motion compensation according to a filter result.

Description

technical field [0001] The invention relates to a real-time video stabilization system that can be widely used in consumer electronics products such as mobile phones, digital cameras, and video cameras, and can also be widely used in camera and monitoring systems equipped with aircraft, ships, satellites, and missiles. method, specifically a real-time video image stabilization method based on feature block matching of integral graphs. Background technique [0002] The video sequence shot by the camera during the movement not only includes the active part of the camera, but also introduces irregular random motion. The existence of this random motion will cause the video to shake and blur, which seriously affects human vision. Feeling, the purpose of video image stabilization is to eliminate or weaken the destructive effects of random motion on video images. The realization of video image stabilization includes three modules: motion estimation, motion filtering and invalid ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21H04N5/14G06T5/00
Inventor 王竞龚志
Owner SHANGHAI WENXIANG INFORMATION TECH
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