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| 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 |
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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.
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Received: 02 April 2009
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Corresponding Authors:
Liu Jian
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2010, Vol. 32 
