Image Hiding Based on Intensity Quantization Using Genetic Algorithm

摘要：

This paper proposes an image hiding method based on intensity quantization which is optimized by genetic algorithm. According to the quantization parameters from genetic optimization, the secret image is transformed from 256-grayscale into 16-grayscale, and scrambled based on blocks before embedding into the host image in space domain. Simulation is realized on Matlab, and the hiding performance is compared with the result using uniform quantization, which shows that the algorithm based on genetic optimization can achieve better hiding performance.

关键词： Image hiding Intensity quantization Genetic optimization

作者: CHEN Yuefen LIN Junhuan CHEN Caiming ZHANG Shingqing

作者单位: School of Physics and Electronic Engineering Taizhou University Taizhou, Zhejiang, 318000,P.R.China The Mechanical and Electrical Engineering Department Taizhou Vocational Technical College Taizhou, Z

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 308-310

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）