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一种基于高维形象几何理论的彩色图像增强算法 被引量:2

Color Image Enhancement Approach Based on High-dimensional Space Geometry
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摘要 基于近年来发展起来的全新理论——高维形象几何与仿生信息学,提出一种彩色图像增强算法。本算法将彩色图像看作是高维空间的点,通过对多幅图片的分析,推导出点与点之间的内在联系,提出"模糊-再模糊-清晰"的增强算法,并由实验证明该算法对模糊图像的清晰化有很好的效果。 A novel algorithm on color image enhancement was proposed. The approach is based on point location in high-dimensional space geometry method, and it is quite different from traditional ways. A color image is looked as a point in high-dimensional space, we tried to find out the intrinsic relationship between the points (images) via experi- ments or analysis. Then, a "blurring-blurring-debluring" algorithm was proposed. Experiments proved the availability of this algorithm.
出处 《计算机科学》 CSCD 北大核心 2008年第12期214-215,223,共3页 Computer Science
关键词 高维形象几何 仿生信息学 彩色图像增强 模糊图像清晰化 High-dimensional space geometry,Color image enhancement
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  • 1王守觉,孙华.一种基于矢量关系运算的人脸检测算法[J].微计算机信息,2006,22(10S):294-296. 被引量:5
  • 2WANG Shoujue CAO Yu HUANG Yi.Blind Image Restoration Based on the Theory of High-Dimensional Space Geometry[J].Chinese Journal of Electronics,2007,16(2):252-256. 被引量:2
  • 3JAEPIL K,EUNJU K,HYERAN B.A simple illumination normalization algorithm for face recognition[C]//PRICAI 2002:Trends in Artificial Intelligence.Berlin:Springer-Verlag,2002:199-206.
  • 4LAND E H,MCCANN J J.Lightness and retinex theory[J].Journal of the Optical Society of America,1971,61(1):1-11.
  • 5JOBSON D J,RAHMAN Z-U,WOODELL G A.A multiscale retinex for bridging the gap between color images and the human observation of scenes[J].IEEE Transactions on Image Processing,1997,6(7):965-976.
  • 6TUMBLIN J,TURK G.LCIS:A boundary hierarchy for detail-preserving contrast reduction[C]//Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques.New York:ACM Press,1999:83-90.
  • 7WANG HAITAO,LI S Z,WANG YANGSHENG.Generalized quotient image[C]//CVPB'04:2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Washington,DC:IEEE Computer Society,2004,2:498-505.
  • 8Face Recognition Vendor Test(FRVT)[EB/OL].[2009-09-05].http://www.frvt.org/.
  • 9ADNINY,MOSES Y,ULLMAN S.Face recognition:The problem of compensating for changes in illumination direction[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):712-732.
  • 10LUCCHESE L,MITRA S K.Color image segmentation:A state-of-the-art survey[EB/OL].[2009-09-03].http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.4896&rep=repl&type=pdf.

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