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基于多线性子空间KL变换的可伸缩视频压缩方法
引用本文:刘健,吴飞,姚蕾,庄越挺.基于多线性子空间KL变换的可伸缩视频压缩方法[J].电子与信息学报,2010,32(5):1188-1192.
作者姓名:刘健  吴飞  姚蕾  庄越挺
作者单位:1. 浙江大学计算机科学与技术学院,杭州,310027
2. 宾夕法尼亚州立大学计算机科学与工程系,University,Park,PA,16802
基金项目:国家自然科学基金(60533090,60603096);;长江学者和创新团队发展计划资助课题
摘    要:该文提出一种基于多线性子空间KL(Karhunen-Loeve)变换的可伸缩视频压缩算法。该算法将纹理不同的图像子块投影到多个线性子空间中去,然后分别进行KL变换编码,使得每个子空间内变换系数更接近高斯分布,从而最大限度地在变换编码阶段提高压缩效率。同时,该算法结合多尺度小波分解,实现了质量可伸缩的视频编码,提高了视频压缩率。通过与DCT、小波变换以及多向DCT算法进行比较,证明该算法可获得更好的率失真性能。

关 键 词:可伸缩视频编码    KL变换    多线性子空间
收稿时间:2009-4-2
修稿时间:2009-11-10

A Scalable Video Coding Scheme Using KL Transform in Multiple Linear Subspaces
Liu Jian,Wu Fei,Yao Lei,Zhuang Yue-ting.A Scalable Video Coding Scheme Using KL Transform in Multiple Linear Subspaces[J].Journal of Electronics & Information Technology,2010,32(5):1188-1192.
Authors:Liu Jian  Wu Fei  Yao Lei  Zhuang Yue-ting
Affiliation:College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; Computer Science and Engineering Department, Pennsylvania State University, University Park, PA 16802, USA
Abstract:This paper proposes a novel transform coding method based on the Karhunen-Loeve (KL) transform in multiple linear spaces. This method uses multiple linear subspaces to approximate image signals, and use a KL transform for each linear subspace, so that the transform coefficients in each subspace is close to Gaussian, which effectively de-correlates the coefficients. An SNR-scalable video coding scheme is developed by combining the method with wavelet decomposition. Experiments prove that this scheme accomplishes better coding efficiency than the schemes employing DCT, DWT, and Directional DCT methods.
Keywords:Scalable video coding  KL transform  Multiple subspaces
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