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Video super-resolution method based on feature-oriented variational optical flow

A super-resolution and video technology, applied in the field of computer vision, can solve the problems that video cannot be applied and image quality needs to be improved.

Inactive Publication Date: 2013-11-20
TIANJIN UNIV
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Problems solved by technology

However, the image quality of the result obtained by this method needs to be improved. Due to the dependence on the original high-resolution key frames in the video, it cannot be applied to many realistic videos.

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  • Video super-resolution method based on feature-oriented variational optical flow
  • Video super-resolution method based on feature-oriented variational optical flow
  • Video super-resolution method based on feature-oriented variational optical flow

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Embodiment Construction

[0056] The present invention converts super-resolution of low-resolution video into image super-resolution for key frames and non-key frames, wherein the sparse regression method for super-resolution key frames takes less time and has good results. Smaller objects have larger displacements. For non-key frames, a method based on feature-oriented variational optical flow is used for super-resolution, and finally video super-resolution is realized. The obtained results are characterized by rich texture details and higher resolution.

[0057] The video super-resolution method based on feature-oriented variational optical flow of the present invention is characterized in that: video frames are divided into key frames and non-key frames, and a method based on sparse regression and natural image pairs is used for key frames to perform super-resolution For non-key frames, a method based on feature-oriented variational optical flow is used to combine the previous nearest neighbor key f...

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Abstract

The invention belongs to the field of a computer vision technology. In order to provide a video super-resolution acquiring method capable of being widely applied and capable of acquiring a high-quality video, the invention adopts the technical scheme that a video super-resolution method based on feature-oriented variational optical flow is characterized in that video frames are divided into key frames and non-key frames; super-resolution is carried out on the key frames by a method based on sparse regression and natural image pairing; and super-resolution is carried out on the non-key frames by the method based on the feature-oriented variational optical flow in combination with the previous most neighboring key frame, and the super-resolution non-key frames and the super-resolution non-key frames are integrated into a super-resolution video. The video super-resolution method is mainly applied in video processing.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a feature-oriented variational optical flow theory, an image repair theory and a single image image super-resolution method, specifically, a feature-oriented variational optical flow-based video super-resolution method. Background technique [0002] For a long time, the restoration of high-resolution video through low-resolution video has made important breakthroughs in key technologies, has become mature and has been widely used in many fields such as surveillance video, Internet video, digital TV, and intelligent transportation. However, the traditional method of super-resolution video needs high-resolution key frames in the video, and the obtained super-resolution results have problems such as blockiness or noise. The video super-resolution method based on feature-oriented variational optical flow can achieve higher resolution, and does not require high-resolution key fr...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T5/00
Inventor 江健民李坤朱彦铭
Owner TIANJIN UNIV
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