Video super-resolution reconstruction method based on adaptive interpolation kernel learning

A technology of super-resolution reconstruction and interpolation kernel, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of real-time super-resolution reconstruction of video, achieve the goal of improving reconstruction effect, suppressing aliasing, and increasing the number of samples Effect

Inactive Publication Date: 2016-03-23
SUZHOU CASIA ALL PHASE INTELLIGENCE TECH CO LTD
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Problems solved by technology

[0021] An embodiment of the present invention provides a video super-resolution reconstruction method based on adaptive interpolation kernel learning, which at least partially solves the technical problem of how to realize real-time super-resolution reconstruction of video

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  • Video super-resolution reconstruction method based on adaptive interpolation kernel learning
  • Video super-resolution reconstruction method based on adaptive interpolation kernel learning
  • Video super-resolution reconstruction method based on adaptive interpolation kernel learning

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Embodiment Construction

[0063] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0064] It should be noted that, in the following description, many specific details are given for the convenience of understanding. It may be evident, however, that the present invention may be practiced without these specific details.

[0065] It should be noted that, in the case of no clear limitation or conflict, various embodiments in the present application and the technical features therein can be combined with each other to form a technical solution.

[0066] Various exemplary embodiments of the present invention are described in detail below with reference to the accompanying drawings. The flowcharts in the figures illustrate the architecture, functionality and operation of possible implementations of methods acc...

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Abstract

The invention discloses a video super-resolution reconstruction method based on adaptive interpolation kernel learning, comprising obtaining the interpolation kernel dictionary of a high resolution image block and a corresponding dual matrix according to a video image training set, wherein the video image training set comprises high and low resolution image blocks; obtaining the interpolation kernel of an image block structure corresponding to each atom in the interpolation kernel dictionary of a high resolution image block according to the interpolation kernel dictionary of the high resolution image block; and constructing the interpolation kernel of image small blocks of an image to be processed, and utilizing the interpolation kernel of image small blocks of the image to be processed to amplify the interpolation of the image to be processed according to the dual matrix and the interpolation kernel of an image block structure corresponding to each atom. The method at least partially better maintains edge and texture information in a video image, and effectively reduces distortion interference of aliasing, sawtooth, ringing, etc.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of video image processing, and in particular to a video super-resolution reconstruction method based on adaptive interpolation kernel learning. Background technique [0002] Digital Image Super-resolution Reconstruction Technology [1,2] It refers to using the observed low-resolution image to reconstruct a higher-resolution image through signal processing. At present, super-resolution reconstruction technology has shown important application value and broad application prospects in many practical fields, including satellite remote sensing, night vision infrared imaging, video surveillance, and military target analysis and tracking. Among them, the ones that are closely related to our daily life are related applications in the field of video surveillance. At present, the domestic security system widely adopts the PAL standard video signal with a resolution of 352×288, but this resolutio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4023G06T3/4053G06T2207/10016
Inventor 胡晰远马斌斌彭思龙
Owner SUZHOU CASIA ALL PHASE INTELLIGENCE TECH CO LTD
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