抄録
This paper presents a sorted evolutionary strategy based self-organizing feature map (SOFM) algorithm to improve the efficiency of vector quantization. The image samples are sorted according to the human vision sensitivity to ensure an optimal vision effect under the precondition of the globe minimum error. A similarity evaluation about code vector is introduced to the evolutionary algorithm to guarantee the variety of the code vector and the adaptability to the image. Experimental results show that the higher adaptability of codebook and better quality of reconstructed image.
本文言語 | English |
---|---|
ホスト出版物のタイトル | Proceedings of the 2004 International Conference on Information Acquisition, ICIA 2004 |
編集者 | T. Mei, M. Meng, Y. Ge, T.J. Tarn, Z. Wang, H. Szu |
ページ | 331-334 |
ページ数 | 4 |
出版ステータス | Published - 2004 |
外部発表 | はい |
イベント | 2004 International Conference on Information Acquisition, ICIA 2004 - Hefei 継続期間: 2004 6月 21 → 2004 6月 25 |
Other
Other | 2004 International Conference on Information Acquisition, ICIA 2004 |
---|---|
City | Hefei |
Period | 04/6/21 → 04/6/25 |
ASJC Scopus subject areas
- 工学(全般)