期刊文献+

对比敏感度下的图像对比度评价 被引量:2

Image Contrast Assessment under Contrast Sensitivity
下载PDF
导出
摘要 目的为解决局部带限对比度存在的问题,提出一种对比敏感度下的图像对比度评价方法.方法对低通滤波后的图像进行快速小波分解,然后对各级小波系数进行处理分别得到各级带通滤波图像及其相应低通滤波图像,求出Peli局部带限对比度,并根据熵的定义计算带限对比度熵,最后利用CSF系数对所得结果进行加权求平均得到图像的对比度熵.结果可以在调节光圈大小得到的序列图像中准确找出对比度最好的一幅,评价结果更加符合人眼的视觉特性.结论解决了局部带限对比度对曝光不足导致的细节丢失图像不能给出正确评价的问题,并且可以应用于图像增强算法中,对增强效果进行准确可靠的评价. In order to overcome the problems of local band-limited contrast, a novel contrast sensitivity image contrast assessment method based on the property of CSF was proposed. Firstly, the image by low-pass filter is performed fast wavelet decomposition;secondly, all levels of band-pass filtered image and its correspond- ing low-pass filtered image are obtained by processing wavelet coefficients; thirdly, local band-limited contrast is calculated, and the local band-limited contrast entropy is calculated according to the definition of en- tropy;finally, the contrast entropy of image is obtained by averaging the local band-limited contrast entropy weighed using CSF coefficient. The experiment results show that the best contrast image can be accurately i- dentified in the sequence images obtained by adjusting the aperture size, assessment results accord with hu- man visual characteristics. It solves the problem of the local band-limited contrast of not giving the correct e- valuation to underexposed images, and can be applied to image enhancement algorithms and give accurate and reliable assessment.
出处 《沈阳建筑大学学报(自然科学版)》 CAS 北大核心 2012年第1期187-192,共6页 Journal of Shenyang Jianzhu University:Natural Science
基金 国家863高技术研究发展计划基金项目(2008AA7034320B)
关键词 图像质量评价 对比度 小波变换 对比敏感度 人眼视觉系统 image quality assessment contrast wavelet transform contrast sensitivity human visual system
  • 相关文献

参考文献18

  • 1江巨浪,张佑生,薛峰,胡敏.保持图像亮度的局部直方图均衡算法[J].电子学报,2006,34(5):861-866. 被引量:64
  • 2Qi D, Sun R. A multi-agent system integrating rein- forcement learning, bidding and genetic algorithms[J].Web Intelligence and Agent Systems ,2003,1 (3 -4) :187 -202.
  • 3Bertalmio M, CaseUes V, Provenzi E. Issues about Retinex theory and contrast enhancement [ J ]. International Journal of Computer, 2009,83 ( 1 ) : 101 - 119.
  • 4张大奇,曲仕茹,何力.路面病害检测系统中的图像增强技术[J].光学精密工程,2010,18(8):1869-1876. 被引量:9
  • 5陈志刚,尹福昌.基于Contourlet变换的遥感图像增强算法[J].光学精密工程,2008,16(10):2030-2037. 被引量:40
  • 6Starck J L, Murtagh F, Candes E J, et al. Gray and color image contrast enhancement by the curvelet transform [ J ]. IEEE Trans on Image Processing, 2003,12(6) :706 -717.
  • 7Rahrnan Z,Jobson D J ,Woodell G. Retinex processing for automatic image enhancement[ J ]. Journal of Electronic Imaging ,2004,13 ( 1 ) :78 - 94.
  • 8Hess R F, Bradley A, Piotrowski L. Contrast-coding in amblyopia. I. differences in the neural basis of human amblyopia[J]. Proc. R. Soc. London Ser. B, 1983,217:309 - 330.
  • 9Peli E. Contrast in complex images[ J]. Optical Society of Ameriea, 1990,7 (10) :2032 - 2040.
  • 10Lubin J. A visual discrimination model for imaging system design and evaluation in vision models for target detection and recognition [ M ]. Singapore: World Scientific Publishing, 1995 : 245 - 283.

二级参考文献71

共引文献215

同被引文献27

  • 1孙立民 李建中 陈渝.无线传感器网络[M].北京:清华大学出版社,2005..
  • 2Bose A.Smart transmission grid applications and their supporting infrastructure[J].IEEE Transactions on Smart Grid,2010,11 (1):11-19.
  • 3Gungor V C,Lu B,Hancke G P.Opportunities and challenges of wireless sensor networks in smart grid[J].IEEE Transactions on Industrial Electronics,2010,57 (10):3557-3564.
  • 4Khosrow M,Ranji K.A Reliability Perspective of the Smart Grid[J].IEEE Transactions on Smart Grid,June 2010,1(1):57-64.
  • 5Gungor V C,Sahin D,Kocak T.Smart grid technologies:communication technologies and standards[J].IEEE Transactions on Industrial Informatics,2011,7(14):529-539.
  • 6Sun Limin.Wireless sensor networks[M].Beijing:Tsinghua University Press,2005.
  • 7Chen Li,Zheng Jungang,Zhu Channan,et al.A RSSI measurement in wireless sensor networks based on the second correction[J].Journal of Shenyang Jianzhu University:Natural Science,2012,28 (5):949-954.
  • 8Wang Xin,Ma Bin,Liu Chunguang,et al.Research of power monitoring system based on smart grid[J].Journal of Shenyang Jianzhu University:Natural Science,2012,28 (5).939-943.
  • 9Liu Meiju,Liu Jian,Du Liming.Design of asymptotic tracking controller for a chaotic system[J].Journal of Shenyang Jianzhu University:Natural Science,2009,25 (1):184-187.
  • 10Yang Q,Barria J A,Green T C.Communication Infrastructures for distributed control of power distribution networks[J].IEEE Transactions on Industrial Informatics,2011,7(2):316-327.

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部