视觉掩盖效应下的无参考图像信噪比评价

范媛媛; 桑英军; 沈湘衡

视觉掩盖效应下的无参考图像信噪比评价

1.
淮阴工学院,江苏淮安 223003;
2.
中国科学院长春光学精密机械与物理研究所,吉林长春 130033

详细信息

通讯作者:
范媛媛（1979-），女，山东邹城人，博士研究生，主要从事图像处理及图像质量评价方面的研究。

中图分类号: TN911.73；TP391
计量
- 文章访问数: 4296
- HTML全文浏览量: 117
- PDF下载量: 554
出版历程
- 刊出日期: 2012-07-14

No-reference image SNR assessment under visual masking

1.
Huaiyin Institute of Technology,Huaian 223003,China;
2.
Changchun Institute of Optics,Fine Mechanics and Physics,CAS,Changchun 130033,China

摘要

摘要: 针对噪声图像，提出一种视觉掩盖效应下的无参考图像信噪比评价方法。采用Hosaka分块思想，利用四叉树分解，取消了Hosaka分块对图像尺寸的限制，分块的大小体现出块内图像的主要频率成分；然后检测各个子块噪声，根据图像的污染程度，计算NRPSNR值。利用LIVE Database Release2图像库中的WN的174幅图像检验NRPSNR与DMOS的相关度，并与MSE、PSNR以及HVSNR比较分析。实验结果表明，该方法总体评价效果优于其他3种评价方法，CC为-0.895 0，SROCC为-0.923 6，OR为0.042 9，主客观评价比较吻合，且对于其他噪声类型同样适用，体现了人的视觉掩盖效应，可以满足对无参考噪声图像进行准确可靠的质量评价要求。
- 无参考图像质量评价 /
- 视觉掩盖 /
- 人眼视觉系统 /
- 信噪比 /
- 四叉树分解
Abstract: A novel no reference image signal to noise ratio(SNR) assessment method based on the property of human visual system (HVS) was proposed to evaluate the quality of noisy image. Firstly, the method adopted Hosaka plots idea and quadtree decomposition which wiped out the limits on image size. Secondly, this improved method was applied to the image to make plots and was employed to abstract sub-blocks noises. Then, the no reference image signal to noise ratio (NRPSNR) was computed according to the pollution degree. The method was tested and verified by using the LIVE Database Release2 image database. The experiment results show that this no reference assessment method which CC reaches -0.895 0, SROCC reaches -0.923 6, OR reaches 0.042 9，is superior to other three kinds of methods on the whole, it is more consistent with subjective image quality assessment, suitable for other noisy styles and embodies the HVS visual masking effect. It can give accurate and reliable quality assessment of no reference noisy images.
- no reference image quality assessment /
- visual masking /
- human visual system /
- signal to noise ratio /
- quadtree decomposition

HTML全文

参考文献(1)

［1］JEANBERNARD M, LYDIA M. Image dissimila -rity［J］. Signal Process,1998,70(3):155-176.

［2］SHEIKH H R, BOVIK A C, CORMACK L K. No-reference quality assessment using natural scene statistics: JPEG2000［J］.IEEE Transactions on Image Processing,2005,14(12):1918-1927.

［3］穆晓敏,杨守义.一种视觉兴趣性图像质量评价方法的应用［J］.无线电通信技术,2001,27（5）:32-33.

MU Xiao-ming,YANG Shou-yi. A quality assessment method application of image based on visual interests［J］. Radio Communication Stechnology, 2001,27（5）:32-33.(in Chinese with an English abstract)

［4］陆洋，明军．一种基于亮度层次的图像质量评价方法［J］.合肥工业大学学报:自然科学版,2006,29（2）:173-175.

LU Yang,MING Jun.An image quality measure based on luminace levels［J］.Journal of Hefei University of Technology: Science Edition, 2006,29（2）:173-175. (in Chinese with an English abstract)

［5］明军,郝其伟,杨杨. 一种基于DCT域加权处理的图像质量评价方法［J］. 安徽大学学报:自然科学版,2006,30(4):33-35.

MING Jun,HAO Qi-wei, YANG Yang . An image qualitymeasure based on DCT domain weighted processing［J］. Journal of Anhui University Natural :Science Edition, 2006,30(4):33-35. (in Chinese with an English abstract)

［6］丁绪星,朱日宏,李建欣. 一种基于人眼视觉特性的图像质量评价［J］.中国图象图形学报,2004,9(2):190-194.

DING Xu-xing, ZHU Ri-hong, LI Jian-xin. A criterion of image quality assessment based on property of HVS［J］. Journal of Image and Graphics, 2004,9(2):190-194. (in Chinese with an English abstract)

［7］赵巨峰,冯华君,徐之海，等.基于模糊度和噪声水平的图像质量评价方法［J］.光电子·激光,2010,21(7):1062-1066.

ZHAO Ju-feng, FENG Hua-jun, XU Zhi-hai. Image quality assessment based on blurring and noise level［J］. Journal of Optoelectronics·Laser, 2010,21(7):1062-1066. (in Chinese with an English abstract)

［8］谢正祥,王志芳,熊兴良,等. 基于视觉感知噪声模型的彩色图像质量评价和彩色图像质量最佳化［J］.中国图象图形学报,2010,15(10):1454-1464.

XIE Zheng-xiang, WANG Zhi-fang, XIONG Xing-liang, et al.Color image quality assessment based on noise model of human vision perception and color image quality optimization［J］. Journal of Image and Graphics, 2010,15(10):1454-1464. (in Chinese with an English abstract)

［9］LI X. Blind image quality assessment［C］//IEEE International Conference on Image Processing. NewYork:IEEE,2002.

［10］汪孔桥.数字图像的质量评价［J］.测控技术, 2000，19(5):14-16.

WANG Kong-qiao, KANGAS J A. Quality assessment of digital［J］.Images Measurement &Control Technology, 2000，19(5): 14-16. (in Chinese with an English abstract)

［11］ESKICIOGLN A M, FISHER P S. Image measures and their performance［J］. IEEE Transactions Communications, 1995, 43(12): 2959-2965.

［12］HOSAKA K. A new picture quality evaluation method［C］//Proceedings of the International Picture coding symposium,［S.I.］，1986.

［13］赵辉,鲍歌堂,陶卫.图像测量中自动调焦函数的实验研究与分析［J］.光学精密工程,2004,12(5):531-536.

ZHAO Hui, BAO Ge-tang,TAO Wei. Experimental research and analysis of automatic focusing function for imaging measurement［J］.Opt. Precision Eng.,2004,12(5):531-536. (in Chinese with an English abstract)

［14］叶东,徐巧玉,车仁生.视觉测量系统的相机校准［J］.光学精密工程,2006,14(5):883-890.

YE Dong,XU Qiao-yu,CHE Re-sheng. Camera calibration technique for vision measurement system［J］.Opt. Precision Eng.,2006,16(5):883-890. (in Chinese with an English abstract)

［15］郭保平,张兆东,何友波.基于人眼视觉特性的盲图像质量评价［J］.军事通信技术，2009,30(1):76-80.

GUO Bao-ping, ZHANG Zhao-dong, HE You-bo. Blind image quality assessment based on property of human vision system［J］. Journal of Military Communications Technology,2009,30(1):76-80. (in Chinese with an English abstract)

［16］SHEIKH H, WANG Z, CORMACK L,et al. LIVE image quality assessment database,release 2［EB/OL］. ［2008-08-27］.http:∥live.ece.utexas.edu/research/quality.

施引文献

资源附件(0)

计量

文章访问数: 4296
HTML全文浏览量: 117
PDF下载量: 554
被引次数: 0

视觉掩盖效应下的无参考图像信噪比评价

通讯作者:
范媛媛（1979-），女，山东邹城人，博士研究生，主要从事图像处理及图像质量评价方面的研究。

计量

No-reference image SNR assessment under visual masking

计量

目录

相关数据库

广告合作

友情链接

帮助中心

视觉掩盖效应下的无参考图像信噪比评价

通讯作者: 范媛媛（1979-），女，山东邹城人，博士研究生，主要从事图像处理及图像质量评价方面的研究。

计量

出版历程

No-reference image SNR assessment under visual masking

计量

出版历程

目录

相关数据库

广告合作

友情链接

帮助中心

通讯作者:
范媛媛（1979-），女，山东邹城人，博士研究生，主要从事图像处理及图像质量评价方面的研究。