作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2010, Vol. 36 ›› Issue (16): 203-204. doi: 10.3969/j.issn.1000-3428.2010.16.073

• 图形图像处理 • 上一篇    下一篇

基于小波变换的图像人工退化算法

汪丽华,廖晓峰,向 涛,赵 亮   

  1. (重庆大学计算机学院,重庆400044)
  • 出版日期:2010-08-20 发布日期:2010-08-17
  • 作者简介:汪丽华(1986-),女,硕士研究生,主研方向:图像处理,混沌密码学;廖晓峰,教授、博士生导师;向 涛、赵 亮,博士研究生
  • 基金资助:
    国家自然科学基金资助项目(60973114, 60703035);重庆市自然科学基金资助项目(2008BB21932009BA2024)

Image Artificial Deterioration Algorithm Based on Wavelet Transform

WANG Li-hua, LIAO Xiao-feng, XIANG Tao, ZHAO Liang   

  1. (College of Computer, Chongqing University, Chongqing 400044)
  • Online:2010-08-20 Published:2010-08-17

摘要: 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。

关键词: 图像人工退化, 小波变换, 混沌, 滤波

Abstract: 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.

Key words: image artificial deterioration, wavelet transform, chaos, filtering

中图分类号: