使用梯度相似度的激光干扰图像评估  

Laser-Dazzling Image Quality Assessment Based on Gradient Similarity

作　　者：樊勇[1] 刘学雨[1] 钱方[2] 

机构地区：[1]天津科技大学机械工程学院,天津300222 [2]中国科学院长春光学精密机械与物理研究所激光与物质相互作用国家重点实验室,长春130033

出　　处：《电光与控制》2014年第8期20-23,共4页Electronics Optics & Control

摘　　要：提出一种基于梯度特征的图像质量评价算法(GSIM)。该算法通过比较原始图像和降质图像的亮度、对比度和清晰度信息,得到归一化的图像质量评价指标。对Live数据库不同类型降质图像和实验采集的激光干扰图像的评价结果表明:与PSNR相比,GSIM算法的相关性方面提高了8.5%,准确率提高了7.6%,一致性提高了4.8%;与SSIM算法相比,GSIM算法的相关性方面提高了1.5%,准确率提高了3.8%,一致性提高了2.6%。证明了提出的GSIM算法相对MSE、PSNR及SSIM算法能准确评价交叉失真图像质量,评价结果更符合人的主观视觉感受。在评价基于掩盖效应的激光干扰图像时,GSIM算法能克服背景强度不一致带来的影响,评价结果能准确反映激光干扰效果。This paper proposes a new algorithm based on gradient similarity （ GSIM ） .By comparing the original images with the disturbed ones on their luminance,contrast and resolution,an image quality assessment index system was obtained,and a modified GSIM was constructed .Comparison experiments show that the correlation,prediction accuracy and consistency of the proposed metric are respectively 8 .5%,7.6%and 4.8%higher than the PSNR index,and are respectively 1.5%,3.8% and 2.6% higher than the SSIM index .In terms of experiment results , the new algorithm shows better feasibility comparing with MSE,PSNR and SSIM image quality assessment methods .GSIM can overcome the influence of the difference in background intensity,and it is efficacious to reflect the laser-dazzling effect .

关 键 词：激光干扰 图像质量评价 梯度相似度 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TP391[自动化与计算机技术—计算机应用技术]