Video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates

A technology of super-resolution reconstruction and continuous fraction interpolation, which is applied in image data processing, instrumentation, computing, etc., and can solve problems that cannot be applied to all videos and video image distortion.

Active Publication Date: 2015-03-25
HEFEI UNIV OF TECH
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Problems solved by technology

[0003] The purpose of the present invention is to solve the defect that the super-resolution reconstruction technology in the prior art cannot be applied to all videos and the reconstructed video image will be

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  • Video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates
  • Video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates
  • Video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates

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Embodiment Construction

[0081] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0082] like figure 1 As shown, a kind of video super-resolution reconstruction method based on sparse expression and vector continued fraction interpolation under polar coordinates of the present invention comprises the following steps:

[0083] The first step is to initialize video feature analysis. Read the first frame image of the video, and judge whether the video is a grayscale video or a color video by analyzing the first frame image. If it is a color video, according to the characteristics of the color image, the color video is executed in the manner of a grayscale video along the three color channels of R, G, and B; if it is a gray video, it is directly post-processed.

[0084] The second step is to use vector continued frac...

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Abstract

The invention relates to a video super-resolution reestablishing method and system based on sparse representation and vector continued fraction interpolation under polar coordinates. Compared with the prior art, the defects that a super-resolution reestablishing technology cannot be suitable for all videos and a reestablished video image can be fuzzy are overcome. The video super-resolution reestablishing method comprises the following steps that initialized video feature analyzing is carried out, an image is amplified through the vector continued fraction interpolation, the image is reestablished through a sparse representation exquisite template, a super-resolution image is established through the amplified image and the assessed image, whether reading of a video is finished or not is detected, if yes, video super-resolution reestablishing is finished, and if not, the image continues to be amplified through the vector continued fraction interpolation. By means of the video super-resolution reestablishing method and system, the quality and efficiency of video image reestablishing are improved, and the application degree of the super-resolution reestablishing technology in different videos is improved.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a video super-resolution reconstruction method and system based on sparse expression and vector continued fraction interpolation under polar coordinates. Background technique [0002] Image and video super-resolution reconstruction is an important research direction in the field of computer vision, and it plays a vital role in practical applications, such as medical diagnosis, high-definition television, remote sensing image analysis, license plate recognition, etc. effect. At this stage, many researchers have proposed different super-resolution reconstruction methods, and have achieved certain success in different application scenarios. However, the implementation of these super-resolution reconstruction methods all need to obtain prior information from some high-definition images, which is not realistic, and the reconstructed video will more or less have various...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 檀结庆何蕾霍星
Owner HEFEI UNIV OF TECH
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