Gradient flow optimization for reducing blocking effects of transform coding

• Autorzy: Feng Gao , Xiaokun Li , Xun Wang , William G. Wee
• Języki publikacji: EN

Abstrakty

EN

This paper addresses the problem of reducing blocking effects in transform coding. A novel optimization approach using the gradient flow is proposed. Using some properties of the gradient flow on a manifold, an optimized filter design method for reducing the blocking effects is presented. Based on this method, an image reconstruction algorithm is derived. The algorithm maintains the fidelity of images while reducing the blocking effects. Experimental tests demonstrate that the presented algorithm is effective.

Słowa kluczowe

EN

optimization; gradient flow; transform coding; blocking effects

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2004
• Tom: 14
• Numer: 1
• Strony: 105-111

Daty

wydano

2004

otrzymano

2003-02-07

poprawiono

2003-12-29

Twórcy

autor

Feng Gao

• Department of Electrical and Computer Engineering and Computer Science, University of Cincinnati, Cincinnati, U.S.A

autor

Xiaokun Li

• Department of Electrical and Computer Engineering and Computer Science, University of Cincinnati, Cincinnati, U.S.A

autor

Xun Wang

• Department of Electrical and Computer Engineering and Computer Science, University of Cincinnati, Cincinnati, U.S.A

autor

William G. Wee

• Department of Electrical and Computer Engineering and Computer Science, University of Cincinnati, Cincinnati, U.S.A

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