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Shape-adaptive DCT and Its Application in Region-based Image Coding

초록

영어

To get better and flexible performance, region-based image coding has been studied widely in the last few years. In region-based image coding, the whole image can be divided into two parts: region-of-interest (ROI) and background area. ROI is coded in low compression ratio, while background area is coded in high compression ratio. In this paper, shape-adaptive DCT (SA-DCT) for coding arbitrarily shaped image segments is introduced. And two region-based image coding methods using discrete cosine transform (DCT) and SA-DCT are presented. The algorithm based on SA-DCT is comparable with the one based on DCT in terms of reconstructed images’ effects. Experimental results show that the algorithm based on SA-DCT performs better than the one based on DCT both in subjective effect and objective effect. Therefore, SA-DCT is a more suitable transform for region-based image coding than DCT.

목차

Abstract
 1. Introduction
 2. DCT and Shape-adaptive DCT
  2.1. Discrete Cosine Transform (DCT)
  2.2. DCT-based Image Coding
  2.3. Shape-adaptive DCT (SA-DCT)
 3. Region-based Image Coding
 4. Experimental Results
  4.1. Region-based Image Coding Using MATLAB
  4.2. Comparison with DCT
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Yamin Zheng School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, P. R. China
  • Xiaoyan Wang School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, P. R. China
  • Chengyou Wang School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, P. R. China

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