基于加性噪声的图像人工退化  

Image Artificial Degradation Based on Additive Noise

作　　者：周畅[1] 王笛[1] 周庆[1] 

机构地区：[1]重庆大学计算机学院,重庆400044

出　　处：《计算机工程》2009年第11期223-225,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60573047);重庆市自然科学基金资助项目(8986-3)

摘　　要：针对图像人工退化通过可逆方式人为降低图像视觉质量的特性,提出一种基于混沌噪声的快速图像人工退化算法,得到该算法模型下图像退化程度的计算公式,研究算法对无损预测编码平均长度的影响,分析算法的安全性,针对图像平均攻击算法提出相应的改进算法。Aiming at the characteristics that Image artificial degradation is a reversible process to reduce the visual quality of the target image, this paper proposes a fast artificial image degradation algorithm based on chaos noise, gets the formula to calculate the degree of the degradation, calculates the mean length of lossless predictive coding of the image before and after the degradation, and analyzes the security of the algorithm. It proposes an improved algorithm to defend the image averaging attack.

关 键 词：图像退化 混沌 噪声 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]