张量 计算机 视频教程,基于低秩张量恢复的视频块效应处理-计算机科学.PDF

第 43 卷第9 期 计算机科学 Vo1. 43 No.9

2016 年 9 月 Computer Science Sep 2016

基于低秩张量恢复的视频块效应处理

陈代斌杨晓梅

(四川大学电气信息学院 成都 610065)

摘 要 针对块编码的视频解码后存在决效应的问题，提出了一种基于块和低秩张量恢复的决效应处理方法。首先

在视频序列里寻找相似块构造三阶张量，根据背景张量的低秩性和块效应的稀疏性，利用扩展于张量上的增广拉格朗

日乘子法求解一个低秩张量恢复问题。瓜、张量模型的角度来进行视频块效应处理，更好地保护了高维数据的结构特

性。实验结果显示，相对于传统去块效应方法，通过该方法得到的视频图像有更高的峰值信嗓比CPSNR) 和更好的视

觉效果。

关键词 视频编解码，视频去块效应，张量恢复，增广拉格朗日乘子法

中固法分类号 TP391 文献标识码 A DOI 10. 11896/j. issn. 1002-137)♀ 2016.9.056

Block-coded Video Deblocking Based on Low-rank Tensor Recovery

CHEN Dai-bin YANG Xiacγmel

CSchool of Electrical and Information ,Sichuan University ,Chengdu 610065 ,China)

Abstract Block-coded videos suffer from the blocking artifacts after being decoded. In order to solve this problem ,a

block-based deblocking method using low-rank tensor recovery was proposed. First , three order tensor is constructed

through clustering similar blocks in video sequence. Then , according to low-rank property of background tensor and

sparsity of blocking artifacts ,the proposed approach utilizes the augmented Lagrange multiplier method which extends

to tensor to solve the low-rank tensor recovery problem. The proposed approach utilizes tensor model to preserve the

structural properties of high dimensional data Experimental results show that it can obtain higher PSNR value and bet

ter visual effect comparing with traditional deblocking methods.

Keywords Video codec ,Video deblocking ,Tensor recovery ,Augmented Lagrange multiplier

块的方法[4J 在图像恢复问题上有很好的效果，原因在于其利

引言