English

应用科学学报 >

2013 , Vol. 31 >Issue 2: 170 - 176

DOI: https://doi.org/10.3969/j.issn.0255-8297.2013.02.011

信号与信息处理

根据小波系数分布参数进行图像质量无参考评价

展开
  • 南通大学电子信息学院，江苏南通226019
李洪均，博士，研究方向：图像处理，E-mail: lihongjun@ntu.edu.cn

收稿日期: 2012-02-24

  修回日期: 2012-11-01

  网络出版日期: 2012-11-01

基金资助

国家自然科学基金(No.61171077)；江苏省高校自然科学研究计划基金(No.12KJB510025, No.12KJB510026)；交通部应用基础研究项目基金(No.2011-319-813-510)；交通部交通运输行业项目基金(No.2010-353-332-110)；江苏省社会发展项目基金（No.BE2010686）；南通市引进人才项目基金（No.03080415）资助

收起

No-reference Image Quality Assessment Based on Parameters of Wavelet Coefficients Distribution

Expand
  • School of Electronic Information Engineering, Nantong University, Nantong 226019, Jiangsu Province, China

Received date: 2012-02-24

  Revised date: 2012-11-01

  Online published: 2012-11-01

Fold

摘要

针对无参考评价算法的普遍适用性问题，提出了一种适用于各种失真类型图像的无参考评价方法. 利用自然场景的统计信息进行图像评价，用广义高斯分布拟合小波系数分布，结合拟合参数来度量失真程度，获得对失真图像的客观评价. 实验结果表明，该算法广泛适用于各类失真图像，质量评价结果与主观评价有较好的一致性.

关键词： 无参考图像质量评价; 小波系数; 广义高斯分布

本文引用格式

李洪均 . 根据小波系数分布参数进行图像质量无参考评价[J]. 应用科学学报, 2013 , 31(2) : 170 -176 . DOI: 10.3969/j.issn.0255-8297.2013.02.011

Abstract

We propose a no-reference method for image quality assessment to be used to various types of image distortions. We assess the image using statistic information of natural scenes, and use the generalized Gaussian density model to fit the marginal distribution of wavelet coefficients. Degree of image distortion is measured with the parameter values in the generalized Gaussian density model. Objective assessment of the image quality is obtained by quantifying the difference between the values of scale and shape parameters. Experimental results are consistent with subjective assessments, showing that the proposed method can be applied to most common types of image distortion to give good prediction.

Key words： no-reference image quality assessment; wavelet coefficients; generalized Gaussian density

参考文献

[1] WEE C Y, PARAMESRAN R, MUKUNDAN R. Quality assessment of Gaussian blurred images using symmetric geometric moments [C]// The 14th IEEE International Conference on image Analysis and Processing, Modena, Palazzo Ducale, 2007: 807-812.
[2] WANG Z, SHEIKH H R, BOVIK A C. No-reference perceptual quality assessment of JPEG compressed images [C]// IEEE International Conference on Image Processing, Rochester, New York, 2002(1): 477-480.
[3] SHEIKH H R, BOVIK A C, CORMACK L. No-reference quality assessment using natural scence statistic: JPEG 2000 [J]. IEEE Transaction on Image Processing, 2005, 14(11): 1918-1927.
[4] LU Wen, ZENG Kai, TAO Dacheng, YUAN Yuan, GAO Xinbo. No-reference image quality assessment in contourlet domain [J]. Neurocomputing, 2010, 73: 784-794.
[5] ZHANG J, LE T M, ONG S H, NGUYEN T Q. No-reference image quality assessment using structural activity [J]. Signal Processing, 2011, 91: 2575-2588.
[6] 楼斌，沈海斌，赵武锋，严晓浪. 基于自然图像统计的无参考图像质量评价[J]. 浙江大学学报：工学版， 2010, 44(2): 248-252.
LOU Bin, SHEN Haibin, ZHAO Wufeng, YAN Xiaolan. No-reference image quality assessment based on statistical model of natural image [J]. Journal of Zhejiang University (Engineering Science), 2010, 44(2): 248-252. (in Chinese)
[7] 金波，李朝锋，吴小俊. 结合 NSS 和小波变换的无参考图像质量评价 [J]. 中国图象图形学报，2012, 17(1): 33-39.
JIN Bo，LI Chaofeng，WU Xiaojun. No-reference image quality assessment based on natural scene statistics and wavelet [J]. Journal of Image and Graphics, 2012, 17(1): 33-39. (in Chinese)
[8] MOORTHY A K , BOVIK A C. Blind image quality assessment: from natural scene statistics to perceptual quality [J]. IEEE Transaction on Image Process, 2011, 20(12): 3350-3364.
[9] PORTILLA J, STRELA V, WAINWRIGHT M J, SIMONCELLI EP. Image denoising using scale mixture of Gaussian in the wavelet domain [J]. IEEE Transaction on Image Processing, 2003, 23(11): 1338-1351.
[10]MALLET S. A theory for multiresolution signal decomposition: the wavelet representation [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1989, 11: 674-693.
[11] DO MN, VETTERLI M. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance [J]. IEEE Transaction on Image Processing, 2002, 11: 146-158.
[12] WANG Z, BOVIK A C. A universal image quality index [J]. IEEE Signal Processing Letters, 2002, 9(3): 81-84.
Options
文章导航

/

〈 〉