Hits:

Indexed by:期刊论文

Date of Publication:2006-01-01

Journal:3rd International Symposium on Neural Networks (ISNN 2006)

Included Journals:SCIE、EI、CPCI-S

Volume:3973

Page Number:318-325

ISSN No.:0302-9743

Abstract:The image encryption based on blind source separation (BSS) takes advantage of the underdetermined BSS problem to encrypt multiple confidential images. Its security can be further improved if the number of images to be simultaneously encrypted increases. However, the BSS decryption speed will correspondingly decrease since the computational load of the BSS algorithms usually has nonlinear relation with the number of the source signals. To solve the problem, this paper presents a fast decryption algorithm based on adaptive noise cancellation by using the knowledge of the key images, which are used in the BSS-based method and available at the receiving side. As a result, the number of the source signals for the fast BSS decryption is decreased in half, and the decryption time is considerably reduced. Both computer simulations and performance analyses demonstrate the efficiency of the proposed method.