Importance-driven texture encoding based on samples

  • Authors:

  • Ying Tang;Hongxin Zhang;Qing Wang;Hujun Bao

  • Affiliations:

  • State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China;State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China;State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China;State Key Lab. of CAD&CG, Zhejiang Univ., Hangzhou, China

  • Venue:
  • CGI '05 Proceedings of the Computer Graphics International 2005
  • Year:
  • 2005

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Abstract

In this paper, we present an importance-driven texture encoding algorithm based on samples. Our algorithm determines a set of samples from source texture based on combined criteria which include compression ratio, visual attention and parameterization distortion. The sample set is used to encode the majority parts of the texture. The remaining regions are then encoded by traditional compression algorithm such as vector quantization. Our method can preserve details of important areas and be extended to dynamic textures. The decoding procedure is performed entirely in programmable graphics hardware, yielding real-time frame rates. Experimental results demonstrate the efficiency and performance of our algorithm.