基于小波变换的图像人工退化算法

Image Artificial Deterioration Algorithm Based on Wavelet Transform

基于小波变换的混合性噪声和混沌流密码,提出一种图像人工退化算法。将原始图像分解为N级不同频率成分的子图像,对高频子图像进行加噪,通过图像退化程度与安全性分析改进算法的抵抗滤波攻击能力。实验结果表明,该算法能快速实现图像退化与恢复,具有较好的抗攻击性。

Based on mixed noise and chaotic flow password of wavelet transform,this paper presents an image artificial deterioration algorithm.The original image is decomposed into N-level sub-class image of different frequencies.A noise is added to the sub-image of high-frequency components.It improves the capability against the filtering attack by analyzing the image deterioration degree and security.Experimental results show that the algorithm can achieve image degradation and restoration rapidly,and has good performance of anti-attack.