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Multimedia Data Adaptive Restoration Method and Device Based on Local and Global Constraints

A technology based on multimedia data and global constraints, applied in constraint-based CAD, special data processing applications, complex mathematical operations, etc., can solve problems such as poor data recovery effect, achieve the effect of improving recovery quality, good global structure, and avoiding interference

Active Publication Date: 2021-11-02
SOUTHWEAT UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally, the RPCA method can achieve good results when recovering data damaged by light occlusion and Gaussian noise, but its data recovery effect is poor when the data is severely damaged and the occlusion surface is large.

Method used

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  • Multimedia Data Adaptive Restoration Method and Device Based on Local and Global Constraints
  • Multimedia Data Adaptive Restoration Method and Device Based on Local and Global Constraints
  • Multimedia Data Adaptive Restoration Method and Device Based on Local and Global Constraints

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Experimental program
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Embodiment 1

[0040] The present embodiment provides a method for adaptive restoration of multimedia data based on local and global constraints, comprising the following steps:

[0041] Extract feature data of multimedia data;

[0042] The feature data in this embodiment includes global features (such as: image color features, texture features, shape features, spatial relationship features or optical flow features, where color features include color histograms and color sets) and local features (including edges, corners, lines, curves and areas of special properties, etc.);

[0043] Since the global feature is not sensitive to changes in the direction and size of the image or image area, it cannot capture the local feature description of the object in the image well, so the global feature that only acquires multimedia data is not suitable for dealing with image aliasing and occlusion. , and local features are features extracted from local areas of the image, including edges, corners, lines...

Embodiment 2

[0060] This embodiment provides a multimedia data adaptive recovery device based on local and global constraints, including a control module, a data acquisition module, a data processing module, and a data display module;

[0061] In this example, if figure 2 As shown, the control module is set as a microcomputer, which is mainly responsible for the transmission of signal instructions and terminal control, that is, for controlling the working process of the data acquisition module, data processing module and data display module;

[0062] A data acquisition module, configured to acquire multimedia data to be processed;

[0063] The data processing module is used to process the multimedia data according to the adaptive restoration method for multimedia data based on local and global constraints provided in Embodiment 1, so as to remove noise data and restore clean data;

[0064] The data display module is responsible for converting the restored clean data into corresponding vi...

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Abstract

The invention discloses a multimedia data self-adaptive recovery method and device based on local and global constraints. The method includes the following steps: extracting feature data of multimedia data; performing low-rank constraints on the feature data with a constructed data global constraint model; The built noise data local similarity measurement model extracts the noise in the feature data; iteratively solves the data global constraint model and the noise data local similarity measurement model with the alternating minimization method or the alternating direction multiplier method to obtain clean data and noisy data. The purpose of the present invention is to provide a method and device for adaptive restoration of multimedia data based on local and global constraints, which can improve the quality of data restoration, especially for the restoration of severely damaged multimedia data such as images and videos. Accurate image and video target and background information to achieve a more ideal denoising effect.

Description

technical field [0001] The invention relates to the technical field of data recovery, in particular to a multimedia data self-adaptive recovery method and device based on local and global constraints. Background technique [0002] Multimedia data such as images, videos, and audios provide us with a lot of colorful information in our daily life and work, but these multimedia data structures are often introduced with a lot of noise due to data collectors, natural conditions, and human factors, thus destroying the essence of the data structure, which causes some difficulties in data processing. For example, image data is often disturbed by different light changes, occlusion, image destruction, Gaussian noise and non-Gaussian noise in practical applications; Non-Gaussian noise such as motion trajectory feature loss, destruction, and outliers are introduced. [0003] At present, in order to deal with these noises existing in multimedia, Robust principal component analysis (RPCA...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F17/16G06K9/40G06K9/46G06K9/62G06F111/04G06F119/10
CPCG06F30/20G06F17/16G06F2111/04G06F2119/10G06F18/2135G06F18/22G06F18/24
Inventor 郭丽刘知贵张小乾李理付聪吴均喻琼张活力
Owner SOUTHWEAT UNIV OF SCI & TECH