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
A Scalable Video Coding Scheme Using KL Transform in Multiple Linear Subspaces
Liu Jian①; Wu Fei①; Yao Lei②; Zhuang Yue-ting①
①College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; ②Computer 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.
2010, Vol. 32 
