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局部方差在图像质量评价中的应用

王宇庆

王宇庆. 局部方差在图像质量评价中的应用[J]. 中国光学(中英文), 2011, 4(5): 531-536.
引用本文: 王宇庆. 局部方差在图像质量评价中的应用[J]. 中国光学(中英文), 2011, 4(5): 531-536.
WANG Yu-qing. Application of local variance in image quality assessment[J]. Chinese Optics, 2011, 4(5): 531-536.
Citation: WANG Yu-qing. Application of local variance in image quality assessment[J]. Chinese Optics, 2011, 4(5): 531-536.

局部方差在图像质量评价中的应用

基金项目: 

中国科学院二期创新工程基金资助项目(No.C50Top2)

详细信息
    作者简介:

    王宇庆 (1979-),男,吉林长春人,博士,助理研究员,主要从事图像质量评价、图像融合、图像增强、VLSI数字信号处理等方面的研究。E-mail:wyq7903@yahoo.com.cn

  • 中图分类号: TP391.4

Application of local variance in image quality assessment

  • 摘要: 将灰度图像的局部方差分布(QLS)作为表征图像结构信息的一个重要特征,对局部方差分布矩阵进行奇异值分解,计算得到相应的奇异值特征向量;通过计算降质图像与原参考图像局部方差矩阵奇异值特征向量的夹角大小度量两图像的结构相似度,实现了对降质图像的质量评价。实验结果表明:局部方差分布更能突出图像的结构特征,评价结果优于传统的均方误差(MSE)、峰值信噪比(PSNR)、结构相似度(SSIM)以及直接评价图像像素分布的奇异值分析(SVD)等方法,与人眼视觉感知效果的一致性较好。

     

  • [1] ESKICIOGLU A M,FISHER P S. A survey of image quality measures for gray scale image compression. Proceeding of 1993 Space and Earth Science Data Compression Workshop,San Diego,USA,1993. [2] WANG ZH,BOVIK A C. A universal image quality index[J]. IEEE Signal Proc. Let.,2002,9(3):181-184 [3] WANG ZH,BOVIK A C,SHEIKH H R,et al.. Image quality assessment:from error visibility to structural similarity[J]. IEEE T. Image Process.,2004,13(4):600-612 [4] LEE Y H,PARK S Y. A study of convex concave edges and edge-enhancing operators based on the Laplacian[J]. IEEE T. Circuits Syst.,1990,37(7):940-946. [5] RAMPONI G. A cubic unsharp masking technique for contrast enhancement[J]. Signal Process.,1998,67(2):211-222 [6] 袁晓松,王秀坛,王希勤. 基于人眼视觉特性的自适应的图像增强算法的研究[J]. 电子学报 ,1999,27(4):63-65. YUAN X S,WANG X T,WANG X Q. An adaptive image enhancement algorithm based on human visual properities[J]. Acta Electronica Sinica,1999,27(4):63-65.(in Chinese) [7] SEZAN M I,YIP K-L,DALY S J. Uniform perceptual quantization:application to digital radiography[J]. IEEE T. Syst.,Man Cyb.,1987,17(4):622-634. [8] JING XING. An image processing model of contrast perception and discrimination of the human visual system. 2002 International Symposium Society for Information Display,Boston,Massachusetts,USA,May 2002. [9] BARNI M,BARTOLIN I F,ROSA A De. HVS modelling for quality evaluation of art images. IEEE 14th International Conference on Digital Signal Processing,Santorini,Greece,July 2002. [10] WESTEN S J P,LAGENDIJK R L,BIEMOND J. Perceptual image quality based on a multiple channel HVS model. IEEE 1995 International Conference on Acoustics,Speech,and Signal Processing,Detroit,MI,USA,1995. [11] FERNANDEZ-MALOIGNE C,LARABI M-C,BRINGIER B,et al.. Spatio-temporal characteristics of the human color perception for digital quality assessment. IEEE Signals,Circuits and Systems ISSCS 2005 International Symposium,New York,USA,14-15 July 2005. [12] BEGHDADI A,PESQUEST-POPESCU B. A new image distortion measure based on wavelet decomposition. IEEE 1995 International Conference on Acoustics,Speech,and Signal Processing,Paris,France,2003. [13] AJA-FERNANDEZ S,ESTEPAR R S J,ALBEROLA-LOPEZ C,et al.. Image quality assessment based on local variance. Proceedings of 28th IEEE EMBS Annual International Conference. New York,USA,2006. [14] GONZALEZ R C,WOODS R E. Digital Image Processing[M]. New York:Addison-Wesley,1992. [15] 骞森,朱剑英. 基于奇异值分解的图像质量评价[J]. 东南大学学报(自然科学版) ,2006,36(4):643-646. QIAN S,ZHU J Y. Image quality measure using singular value decomposition[J]. J. Southeast University(Natural Science Edition),2006,36(4):643-646.(in Chinese) [16] TAUBMAN D S,MARCELLIN M W. JPEG2000:Image Compression Fundamentals,Standards,and Practice[M]. Norwell:Kluwer,2001.
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出版历程
  • 收稿日期:  2011-07-11
  • 修回日期:  2011-08-13
  • 刊出日期:  2011-10-25

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