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基于LP滤波和Retinex的光照补偿 被引量:1

Illumination Compensation Based on LP Filtering and Retinex
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摘要 针对彩色图像进行光照补偿后难以保持色彩恒常性的问题,提出一种基于Retinex和低通(LP)滤波的彩色图像光照补偿方法。将图像从RGB空间转换到HSV空间,保持H和S分量不变,对V分量使用LP滤波器V分量的高频成分H和低频成分VL,对VL采用Retinex算法进行光照补偿,利用VH和经光照补偿的VL及双重框架运算的LP重构算法进行重建得到V分量,将图像反变换至RGB空间得到最终的增强结果。实验结果表明,该光照补偿方法能对图像进行有效的光照补偿,保持较好的颜色恒常性。 To solve the conundrum that it is difficult to preserve the color constancy after doing illumination compensation,a novel algorithm based on Low-Pass(LP) filter and Retinex is proposed.In this algorithm,RGB image to be dealt is transformed into HSV space at the very beginning,the H and the S element are kept steady,then by using the LP filter the illumination image V is divided into high frequency and low frequency parts,which are symbolized by VH and VL respectively,in the flowing steps Retinex algorithm is used on the VL image to do illumination compensation,VH and the compensated VL are used to reconstructed V,and the compensated image in HSV space is transformed back to RGB space,where it gets the final image.Through experiment,it is confirmed that the proposed algorithm to do color image's illumination compensation yields some good results both on illumination compensation and on preserving the color constancy.
出处 《计算机工程》 CAS CSCD 北大核心 2011年第16期1-4,共4页 Computer Engineering
基金 国家"863"计划基金资助项目(2007AA701121)
关键词 色彩恒常性 光照补偿 视网膜皮质模型 低通滤波 双重框架 color constancy illumination compensation Retinex model Low-Pass(LP) filtering bi-framework
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  • 1徐冠雷,王孝通,徐晓刚,朱涛.基于限邻域EMD的图像增强[J].电子学报,2006,34(9):1635-1639. 被引量:31
  • 2Pichon E, Niethammer M, Sapiro G. Color histogram equalization through mesh deformation[ J ]. IEEE Transaction on Image Processing, 2003,2( 11 ) : 117 - 120.
  • 3Yang S H, Lin D W. A geometry-enhanced color histogram [A]. International Conference Information Technology: Research and Education[C]. New Jersey, USA, IEEE, 2003. 563 - 567.
  • 4Russo F. Recent advances in fuzzy techniques for image enhancement[J]. IEEE Transaction on Instrumentation and Measurement, 1998,47(6) : 1428 - 1434.
  • 5Land E H, McCann J. Lightness and retinex theory[ J]. Journal of Optical Society of America, 1971,61 ( 1 ) : 1 - 11.
  • 6Belhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces vs Fisherfaces: Recognition using class specic linear projection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997,19(7) :711 - 720.
  • 7Moghaddam B, Wahid W, Pentland A. Beyond eigenfaces: probabilistic matching for face recognition[A]. Proceedingg of International Conference on Automatic Face and Gesture[ C ] : IEEE, Nara, Japan, 1998.30 - 35.
  • 8Huang N E, Shen Z. The empirical mode decomposition and the Hilbert spectrum for nonlinear non-stationary time series analysis[J] .Proceedings of the Royal Society of London Series A, 1998,454:903 - 995.
  • 9Perona P, Malik J. Scale-space and Edge Detection Using Anisotropic Diffusion[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-639.
  • 10Chambolle A. Partial Differential Equations and Image Processing[C]//Proc, of IEEE International Conference on Image Processing. Austin, TX, USA: [s. n.], 1994.

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