A Scalable Video Coding Scheme Using KL Transform in Multiple Linear Subspaces

Liu Jian; Wu Fei; Yao Lei; Zhuang Yue-ting

doi:10.3724/SP.J.1146.2009.00463

Volume 32 Issue 5

May 2010

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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. doi: 10.3724/SP.J.1146.2009.00463

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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. doi: 10.3724/SP.J.1146.2009.00463

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A Scalable Video Coding Scheme Using KL Transform in Multiple Linear Subspaces

doi: 10.3724/SP.J.1146.2009.00463

Received Date: 2009-04-02
Rev Recd Date: 2009-11-10
Publish Date: 2010-05-19

Abstract

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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References

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