期刊文献+

一种新的基于彩色双边滤波的彩色图像增强方法 被引量:4

A new method for color image enhancement based on color bilateral filter
下载PDF
导出
摘要 本文提出一种新的基于彩色双边滤波的彩色图像增强方法。该方法将彩色图像增强分为三部分:全局亮度调节、对比度增强和颜色恢复。全局亮度调节主要是对图像的整体亮度信息进行非线性调整,压缩图像的亮度动态范围;局部对比度增强主要是利用彩色双边滤波获得像素点所在邻域的背景亮度,由当前像素点的亮度与背景亮度之间的关系,通过非线性的方法增强图像局部对比度;最后通过颜色恢复算法恢复图像色彩。相关实验表明,本文所提方法可以获得很好的彩色图像增强效果。 In this paper, we propose a new method for color image enhancement based on color bilat- eral filter. The method is divided into three major parts: global luminance enhancement, local con- trast enhancement and color restoration. Global luminance enhancement changes the luminance infor- mation via non-linear adjustment to compress the dynamic range of the image. Local contrast enhance- ment enhances the local contrast by non-linear method, which units the relationship between the lumi- nance image of each pixel and the background information of its neighboring pixies after color bilateral filtering. Finally, a color restoration algorithm is used to convert the enhanced luminance image to a color image. Related experiments show that the method proposed has good effectiveness for color im- age enhancement.
出处 《中国体视学与图像分析》 2009年第2期143-146,共4页 Chinese Journal of Stereology and Image Analysis
基金 福建省自然科学基金(2008J0032) 厦门大学985二期信息创新平台(00002X07204) 厦门市科技计划高校创新项目(3502Z20083006)
关键词 彩色图像增强 彩色双边滤波 人类视觉系统 RETINEX color image enhancement color bilateral filter human visual system Retinex
  • 相关文献

参考文献6

  • 1Meylan L, Susstrunk S. High dynamic range image rendering with a retinex-based adaptive filter [ J ]. IEEE Transactions on Image Processing, 2006, 15 (9) : 2820 - 2830.
  • 2Funt B, Ciurea F, McCann J. Retinex in MATLAB[J]. Journal of Electronic Imaging, 2004, 13( 1 ) : 48 -57.
  • 3Kimmel R, Elad M, Shaked D, et al. A variational framework for Retinex [ J ]. International Journal of Computer Vision, 2003, 52(1) : 7 -23.
  • 4Li Tao, Asari V K. A Robbust Image Enhancement Technique for hnproving Image Visual Quality in Shadowed Scenes[M]//Leow W K, Lew M S, Chua T S, et al. Image and video retrieval : 14th international conference, CIVR 2005, Singapore, July 20- 22, 2005; proceedings. Berlin: Springer, 2005, 395 -404.
  • 5王守觉,丁兴号,廖英豪,郭东辉.一种新的仿生彩色图像增强方法[J].电子学报,2008,36(10):1970-1973. 被引量:51
  • 6Webster M A. Human colour perception and its adaptation [J]. Network: Computation in Neural Systems, 1996, 7 (4) : 587 -634.

二级参考文献10

  • 1刘国军,唐降龙,黄剑华,刘家峰.基于模糊小波的图像对比度增强算法[J].电子学报,2005,33(4):643-646. 被引量:19
  • 2M A Webster. Human colour perception and its adaptation[ J ]. Network:Computation in Neural Systems, 1996, 17 (4) : 587 - 634.
  • 3Funt B, Ciurea F, Mccann J. Retinex in MATLAB[ J]. Jourllal of Electronic Imaging, 2004,13( 1 ) :48 - 57.
  • 4Jobson DJ, Rahman Z, Woodell GA. 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.
  • 5Kimmel R, Elad M, Shaked D. A variational framework for Retinex[J]. International Journal of Computer Vision, 2003,52 (1) :7 - 23.
  • 6Laurence Meylan, Sabine Susstrunk. High dynamic range image rendering with a retinex-based ad;aptive filter[J]. IEEE. Transactions on Image Processing,2006,15(9) :2820 - 2830.
  • 7Li Tao, Vijayan K.Asari.A Robust Image Enhancement Technique for Improving Image Visual Quality in Shadowed Scenes [ A]. Proccedings of the 4th International Conference on Image and Video Retrieval [ C ]. Springer, Berlin, ALLEMAGNE, 2005, vol. 3568,395 - 404.
  • 8Wang Shoujue, Cao Yu, Huang Yi. A novel image restoration approach based on point location in high-dimension space geometry[ A]. Proceedings of International Conference on Neural Networks and Brain ( ICNN&B ' 05 ) [ C ]. IEEE Press, 2005, vol. 1,301 - 305.
  • 9王守觉.仿生模式识别(拓扑模式识别)——一种模式识别新模型的理论与应用[J].电子学报,2002,30(10):1417-1420. 被引量:151
  • 10黄凯奇,王桥,吴镇扬.基于视觉特性和颜色空间的多尺度彩色图像增强算法[J].电子学报,2004,32(4):673-676. 被引量:20

共引文献50

同被引文献23

  • 1陈志强,徐丹,张丽,刘以农,高文焕,康克军.用于高能射线透视成像的大型图像对比度增强算法[J].中国体视学与图像分析,2003,8(2):65-68. 被引量:7
  • 2周旋,周树道,黄峰,周小滔.基于小波变换的图像增强新算法[J].计算机应用,2005,25(3):606-608. 被引量:34
  • 3夏思宇,李久贤,夏良正.基于色彩恒常性的彩色图像增强改进算法[J].南京航空航天大学学报,2006,38(B07):54-57. 被引量:8
  • 4Kim Y T. Contrast enhancement using brightness preserving bi - histogram equalization [ J ]. IEEE Transac Consum Electronics, 1997, 43(1):1 -8.
  • 5Menotti D, Najman L, Facon J, et al. Multi-histogram equalization methods for contrast enhancement and brightness preserving [ J]. IEEE Transac Consum Electronics, 2007, 53(3) :1186 - 1194.
  • 6Jafar I, Ying H. New algorithms for contrast enhancement in grayscale images based on the variational definition of histogram equalization[J]. Integr Computer-Aided Engin,2008, 15(2) :131 - 147.
  • 7Pizer S M, Amburn E P, Austin J D, et al. Adaptive histogram equalization and its variations[ J]. Computer Vision, Graphics, and Image Processing, 1987, 39 (3) : 355 - 368.
  • 8Stark J A. Adaptive image contrast enhancement using generalization of histogram equalization [J]. IEEE Transac Image Processing, 2000, 9(5) :889 - 896.
  • 9Kim J Y, Kim L S, Hwang S H. An advanced contrast enhancement using partially overlapped sub-block histogram equalization [ J ]. IEEE Transact Circuits Systems Video Technol, 2001, 11 (4) :475 -483.
  • 10Zimmerman J B, Pizer S M, Staab E V, et al. An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement [ J]. IEEE Transac Med Imag, 1988, 7(4) :304 -312.

引证文献4

二级引证文献17

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