基于HVS的图像质量评价方法研究  

Image Quality Evaluation Based on Human Visual System

作　　者：蒋未芳[1] 杨培桢 张洪英[1] 张杰良[1] 

机构地区：[1]中国人民解放军61416部队 [2]中国人民解放军91817部队

出　　处：《计算机仿真》2015年第5期213-217,共5页Computer Simulation

摘　　要：针对目前视频会议图像系统优化中,由于在画面质量评测方面存在的差异大的问题,结合实际装备情况,研究图像质量准确评价问题,图像采集、压缩传输中会出现畸变,使图像模糊,传统评价方法难以对特征进行正确区分,导致图像质量准确率低。为提高图像质量评价准确率,提出一种基于HVS的图像质量评价方法。为业务处理提供科学依据,对于有效规范值勤业务管理,提高装备运行质量,增强任务保障能力,为提升视频会议保障图像质量具有十分重要的意义。Image optimization is important in current video meeting system, and image quality evaluation plays an important role in image optimization. This paper studies aeeurate evaluation of image quality under actual equipment situation. Because of the image fuzzy caused by the image distortion in the image acquisition and compression trans- mission, traditional evaluation method is hard to distinguish features, which leads to low image quality. In order to improve the accuracy of image quality assessment, an image quality evaluation method based on HVS is presented, which can provide scientific to ensure the image quality of video meeting.

关 键 词：图像质量 人眼视觉系统 峰值信噪比 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]