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Super-resolution reconfiguration method based on multiframe motion estimation and merging

A technology of super-resolution reconstruction and motion estimation, applied in the field of communication, can solve the problems of inability to meet the user experience of high-definition video data viewing level, and achieve the effect of realizing user experience.

Inactive Publication Date: 2011-11-09
王洪剑
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the limitation of network bandwidth, the spatial resolution of the video data transmitted on the network to the client can only reach 640*480, and the frame rate is 12-24 frames per second, which cannot meet the viewing level of high-definition video data transmitted by users through the network. user experience

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  • Super-resolution reconfiguration method based on multiframe motion estimation and merging
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  • Super-resolution reconfiguration method based on multiframe motion estimation and merging

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Embodiment Construction

[0046] The embodiment of the technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings:

[0047] The implementation of the technical solution proposed in the present invention is based on two assumptions:

[0048] ①In the frame, there are some similar structures or details.

[0049] ② Between frames, due to the different sampling phases, the image contains different information of the same object.

[0050] Simultaneously based on two processes:

[0051] ① Use super sub-pixel motion estimation to obtain information corresponding to the same object within and between frames.

[0052] ② Adaptive fusion of all these information.

[0053] Principle of phase correlation planar motion estimation:

[0054] The Phase Correlation Plane (PPC) can reflect motion displacement between videos with infinite precision. Its basic principle is:

[0055] Assume there is a translational motion between the two images:

...

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Abstract

The invention relates to a super-resolution reconfiguration method based on multiframe motion estimation and merging. In the method, a phase relevant plane is solved from every two adjacent frames in a multiframe image, and multiframe sub-pixel motion estimation is realized on the basis of a parabolic model on the separated two-dimensional phase relevant plane; and a motion vector of a decimal part and a motion vector of an integer part of the sub-pixel motion estimation are applied to a low-resolution image and a high-resolution image respectively, and the current frame image and a plurality of adjacent reference frame images are merged to reconfigure the high-definition image corresponding to the current frame image and provide the reconfigured high-definition image for users, so the ornamental user experience of the users on high-definition video data by network transmission is realized.

Description

technical field [0001] The invention relates to video image processing in the communication field, in particular to a super-resolution reconstruction method of video images. Background technique [0002] With the rapid development of the network economy and the continuous maturity of the network video industry, consumer demand in the network video market will continue to grow rapidly. There are many video sites on the Internet. The operating costs of these video sites mainly include three major components: bandwidth, servers, and promotion. The high cost of bandwidth makes many small and medium-sized video sites overwhelmed. The cheapest is 1G bandwidth of 4 million per year, and to make the video play smoothly and achieve a viewing-level user experience, a video website needs at least 2G bandwidth, and at the same time, it needs to buy enough servers in various places. Under the existing network bandwidth conditions, high-definition video sources cannot be supported, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50H04N5/14
Inventor 王洪剑
Owner 王洪剑
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