Abstract
In this paper, a technique to reduce the overhead of Vector Quantization (VQ) is developed here. Our method exploits the high correlation property among neighboring blocks. By rearranging the codebook after training process, the indices of neighboring vectors have fewer varieties, then, the gains of compression is attained. For the excellent energy compactness advantage of Discrete Cosine Transform (DCT), the indices buffer formed after encoding phase are fed to DCT to reduce the bit rate furthermore. Statistics illustrators are addressed to prove the efficient performance of proposed method. Experiments are carried out to natural gray images. Simulation results show that our method decreases the bit rate more than 50% with the same reconstructed image quality compared to standard VQ coding.
Original language | English |
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Publication status | Published - 1998 Dec 1 |
Event | 1998 International Conference on Communication Technology, ICCT 1998 - Beijing, China Duration: 1998 Oct 22 → 1998 Oct 24 |
Other
Other | 1998 International Conference on Communication Technology, ICCT 1998 |
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Country/Territory | China |
City | Beijing |
Period | 98-10-22 → 98-10-24 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering