一种新的图像信息隐藏质量度量方法

KA Navas, M. Aravind, M. Sasikumar, Assitant
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引用次数: 12

摘要

客观质量评价在图像处理中得到了广泛的应用,几十年来,许多研究者一直在研究基于人类视觉系统的客观质量评价方法。本文提出了一种新的度量方法,用主观评价的权重函数表示图像中产生的感知退化。在不同的数据隐藏水平和不同的攻击下对不同的图像集进行的实验分析表明,该方法与主观分析方法具有较高的接受度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel quality measure for information hiding in images
Objective quality assessment has been widely used in image processing for decades and many researchers have been studying the objective quality assessment method based on human visual system (HVS). This paper presents a new measure which denotes the perceptual degradation produced in an image using certain subjectively evaluated weighing functions. Experimental analysis when carried out on different sets of images for different levels of data hiding and under different attacks shows that this new measure shows a high degree of acceptance with the subjective analysis measure.
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