Wavelet Domain Digital Image Hiding Algorithm Based on CNN Encryption

摘要：

In order to improve the robustness and invisibility of the image hiding algorithm based on wavelet transform, an image hiding algorithm is proposed based on the combination of Cellular Neural Network (CNN) and wavelet transform. First, the high bit planes of the secret image are encrypted by CNN encryption, and then the encrypted bit planes are hided into the singular value matrices of the wavelet sub band coefficients of the carrier image, realizing the encryption of the embedded data. The bit plane compensation method proposed by this article is used for information extraction in the information receiver. Experimental results show that this image hiding algorithm can still achieve good robustness and invisibility under the condition that the hiding data get a fifty percent reduction.

关键词： image hiding wavelet transform cellular neural network singular value decomposition bit plane compensation

作者: Wei Zheng Zhiguang Zhao

作者单位: College of Electronic and Information Engineering Hebei University Baoding, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 386-390

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）