Earticle

초록

영어

The mean-removed vector quantization (MRVQ) scheme achieves good reconstructed image quality, but it requires a high number of bit rates. In this paper, we propose an improved MRVQ scheme. The compressed codes of MRVQ for an image block contain the block mean and the index recording the closest residual vector in the codebook. In the proposed scheme, the block mean values are encoded by the linear prediction technique followed by the Huffman coding technique. The MRVQ indices of the residual vectors are further compressed by the Huffman coding technique. From the experimental results, it is shown that a great deal of bit rate reduction is achieved by using the proposed scheme with acceptable image quality loss.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. The Vector Quantization Scheme
  2.2. The Mean-Removed Vector Quantization Scheme
 3. The Proposed Scheme
  3.1. Image Encoding Procedure
  3.2. Image Decoding Procedure
 4. Experimental Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Jun-Chou Chuang [ Department of Computer Science and Communication Engineering, Providence University, 200 Chung Chi Rd., Taichung 43301, Taiwan ]
• Yu-Chen Hu [ Department of Computer Science and Information Management, Providence University, 200 Chung Chi Rd., Taichung 43301, Taiwan ]
• Chun-Chi Lo [ Department of Computer Science and Information Engineering, Providence University, 200 Chung Chi Rd., Taichung 43301, Taiwan ]
• Wu-Lin Chen [ Department of Computer Science and Information Management, Providence University, 200 Chung Chi Rd., Taichung 43301, Taiwan ]
• Chia-Hsien Wen [ Department of Computer Science and Information Management, Providence University, 200 Chung Chi Rd., Taichung 43301, Taiwan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605