Compressing sets of similar images using hybrid compression model

Jiann Der Lee*, Shu Yen Wan, Chemg Min Ma, Rui Feng Wu

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

3 引文 斯高帕斯(Scopus)

摘要

A new compression scheme called the hybrid compression model (HCM) is proposed for compressing sets of similar images. The HCM employs the region growing technique to partition the median image of a set of similar images; and furthermore, it uses the centroid method to characterize the original image data. The differences between the predicted and the original image data are stored and encoded for later use. The efficacy of its application on progressive transmission of similar images over the networks is also studied. The experimental results on various images show that our method provides significant improvement in compression efficiency, ranging from 5.6% to 134.9% in comparison with traditional centroid methods.

原文英語
主出版物標題Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
發行者Institute of Electrical and Electronics Engineers Inc.
頁面617-620
頁數4
ISBN(電子)0780373049
DOIs
出版狀態已出版 - 2002
事件2002 IEEE International Conference on Multimedia and Expo, ICME 2002 - Lausanne, 瑞士
持續時間: 26 08 200229 08 2002

出版系列

名字Proceedings - 2002 IEEE International Conference on Multimedia and Expo, ICME 2002
1

Conference

Conference2002 IEEE International Conference on Multimedia and Expo, ICME 2002
國家/地區瑞士
城市Lausanne
期間26/08/0229/08/02

文獻附註

Publisher Copyright:
© 2002 IEEE.

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