基于感知哈希的图像内容鉴别性能分析

感知哈希能有效地区分不同内容的图像,常用于检测盗版或重复的图像内容鉴别应用中.针对已有的对感知哈希的图像内容鉴别应用研究主要集中在算法设计上,缺少对其性能评价的理论方法的问题,提出从理论上评价内容鉴别性能的方法.该方法基于一类图像感知哈希算法的抗碰撞特性建立了内容鉴别的判定模型,并定义内容鉴别的性能公式,最后推导出统计学上的函数作为性能评价指标.实验结果表明,文中方法能很好地估计感知哈希在内容鉴别应用中的性能.

Performance Analysis of Image Content Identification on Perceptual Hashing

Perceptual hashing can distinguish images of different contents effectively,and it is commonly used in content identification for detecting piracy or duplicate images.Published research of image content identification on perceptual hashing has mainly focused on the design of perceptual hashing algorithm,and very few theoretical methods have been developed for performance evaluation of content identification.Based on anti-collision property of image perceptual hashing,this paper introduces a mathematical model of content identification,defines performance formulas of content identification,and presents functions of the statistical distribution for performance evaluation.Experimental results show that the proposed approach estimates the performance of content identification on perceptual hashing very well.