Image video super-resolution method and device

A super-resolution and low-resolution image technology, applied in the field of image and video super-resolution methods and devices, can solve the problems of instability of the reverse derivation model and easy interference by noise.

Active Publication Date: 2016-11-16
PEKING UNIV
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Problems solved by technology

Since the process of restoring a high-resolution image from a low-resolution image is an ill-posed inverse problem, that is, the reverse derivation model is unstable and is easily disturbed by noise to obtain very poor results.

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  • Image video super-resolution method and device
  • Image video super-resolution method and device
  • Image video super-resolution method and device

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[0062] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the specific The examples are only used to explain the present invention, not to limit the present invention. The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] figure 1 is a flowchart of the image video super-resolution method. Such as figure 1 Shown, the image video super-resolution method comprises the following steps: input step (S1), input low-resolution image; Super-resolution step...

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Abstract

The invention discloses an image video super-resolution method and device. The method comprises the following steps: the input step: a low-resolution image is inputted; the super-resolution step which includes interpolation and deblurring, wherein interpolation is performed on the low-resolution image and deblurring is performed on the image after interpolation through a weighted total variation regularization constraint super-resolution model; and the output step: a high-resolution image is outputted. According to the method, the weighted total variation regularization model is used so that the curve of the model is enabled to be closer to the real first-order difference statistical result of the natural image, the non-convex phenomenon of an optimization function caused by certain conventional approximation priori can be improved and solving of the equation is enabled to be more stable and rapid. Besides, a rapid solving method is also designed for the model so that the model is enabled to be more practical. Meanwhile, the operation effect of the method is enabled to be more robust through excessive deblurring control.

Description

technical field [0001] The invention belongs to the technical field of video image processing, and in particular relates to an image video super-resolution method and device. Background technique [0002] Image super-resolution refers to a class of methods that use a computer to enlarge a low-resolution image into a high-resolution image, and estimate the image information that needs to be supplemented during the enlargement process. [0003] Video super-resolution is divided into two categories. One is to reconstruct a key frame from a video by using the information of multiple frames, which has many applications in monitoring. The other type refers to amplifying each frame of the video to generate a high-resolution video, which is mainly used in the field of video broadcasting. [0004] The use of digital image generating equipment (digital cameras, digital video cameras, etc.) has become more and more popular, which also makes digital images more and more widely used. W...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/00
CPCG06T3/4053G06T2207/10016G06T5/73
Inventor 杨长水柏园超贾惠柱解晓东陈瑞
Owner PEKING UNIV
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