版權說明 操作指南
首頁 > 成果 > 詳情

A digital image scrambling method based on Hopfield neural network

認領
導出
Link by DOI
反饋
分享
QQ微信 微博
成果類型:
期刊論文、會議論文
作者:
Li Tu;Xuehua Huang
通訊作者:
Tu, L.(tulip1907@163.com)
作者機構:
[Li Tu; Xuehua Huang] Department of Computer Science, Hunan City University, Yiyang, Hunan 413000, China
語種:
英文
期刊:
Lecture Notes in Electrical Engineering
ISSN:
1876-1100
年:
2012
卷:
107
頁碼:
569-575
會議名稱:
International Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011
會議時間:
September 13, 2011 - September 16, 2011
會議地點:
Hangzhou, China
會議主辦單位:
(1) Department of Computer Science, Hunan City University, Yiyang, Hunan 413000, China
會議贊助商:
National Science Foundation of China;Shanghai Jiao Tong University
出版者:
Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
機構署名:
本校為第一機構
院系歸屬:
信息與電子工程學院
摘要:
In order to improve the deficiencies of existing image restoration algorithms and accelerate its speed, through the study of Hopfield neural network, we proposed a digital image scrambling method of nonlinear mapping characteristics, and by using overlapped block technique, the time and space complexity reduced. Compared with the Arnold transformation, Fibonacci transformation, affine transformation and other scrambling methods, this method has better effective on noise resistance, JPEG compression, shear resistance attacking than the above three methods. ©2012 Springer Science+Business Media B.V.

反饋

驗證碼:
看不清楚,換一個
確定
取消

成果認領

標題:
用戶 作者 通訊作者
請選擇
請選擇
確定
取消

提示

該欄目需要登錄且有訪問權限才可以訪問

如果您有訪問權限,請直接 登錄訪問

如果您沒有訪問權限,請聯系管理員申請開通

管理員聯系郵箱:yun@hnwdkj.com

亚洲熟伦熟女专区