计算机工程与应用2016，Vol.52Issue(21)：206-210,246,6.DOI:10.3778/j.issn.1002-8331.1501-0083
基于轮廓波数字水印的JPEG图像质量评价方法
JPEG compressed image quality assessment method based on digital watermark-ing in contourlet domain
摘要
Abstract
Reduced-Reference(RR)Image Quality Assessment(IQA)aims to predict the visual quality of distorted images with only partial information concerning the reference images. In this paper, a RR IQA based on digital watermarking con-tourlet domain is proposed. Firstly, the low-frequency sub-band of contourlet transform is selected as the watermark embedding region based on the theory of Human Visual System(HVS), so semi-fragile digital watermarking is constructed. Secondly, the Structural Similarity(SSIM)value between embedded watermark image and original image is used to design an adaptive watermark embedding system, which ensures the invisibility of watermark. Finally the image quality metric is gained by the restoration rate of watermark of distorted image. Empirical studies are carried out upon the LIVE images database II and TID2008 images database against the subjective IQA score and demonstrate that the proposed framework has favorable consistency with subjective perception values and the objective assessment results can well reflect the visual quality of JPEG compressed images.关键词
轮廓波变换/数字水印/图像质量评价/结构相似度(SSIM)Key words
contourlet transform/digital watermarking/Image Quality Assessment(IQA)/Structural Similarity(SSIM)分类
信息技术与安全科学引用本文复制引用
康良成,李朝锋..基于轮廓波数字水印的JPEG图像质量评价方法[J].计算机工程与应用,2016,52(21):206-210,246,6.基金项目
国家自然科学基金（No.61170120）；教育部新世纪优秀人才计划（No.NCET-12-0881）。 （）
