高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于极大灰度频数抑制结合动态直方图均衡的图像增强算法

胡正平 刘博 王成儒

胡正平, 刘博, 王成儒. 基于极大灰度频数抑制结合动态直方图均衡的图像增强算法[J]. 电子与信息学报, 2009, 31(6): 1327-1331. doi: 10.3724/SP.J.1146.2008.00580
引用本文: 胡正平, 刘博, 王成儒. 基于极大灰度频数抑制结合动态直方图均衡的图像增强算法[J]. 电子与信息学报, 2009, 31(6): 1327-1331. doi: 10.3724/SP.J.1146.2008.00580
Hu Zheng-ping, Liu Bo, Wang Cheng-ru. Image Enhancement Algorithm Combines Maximum Gray Frequency Restrict with Dynamic Histogram Equalization[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1327-1331. doi: 10.3724/SP.J.1146.2008.00580
Citation: Hu Zheng-ping, Liu Bo, Wang Cheng-ru. Image Enhancement Algorithm Combines Maximum Gray Frequency Restrict with Dynamic Histogram Equalization[J]. Journal of Electronics & Information Technology, 2009, 31(6): 1327-1331. doi: 10.3724/SP.J.1146.2008.00580

基于极大灰度频数抑制结合动态直方图均衡的图像增强算法

doi: 10.3724/SP.J.1146.2008.00580
基金项目: 

河北省自然科学基金(F2008000891)和燕山大学博士基金(B287)资助课题

Image Enhancement Algorithm Combines Maximum Gray Frequency Restrict with Dynamic Histogram Equalization

  • 摘要: 现有的直方图均衡技术存在两方面不足:虽然使得增强图像有高的对比度,但是其对比度的提升程度严重依赖于灰度频数分布,这样常常导致容易过度增强高频数灰度级,而压缩低频数灰度级;另外,增强对象缺乏目的性,难以满足感兴趣灰度区域的特殊要求。针对这个问题,该文提出基于极大灰度频数抑制结合动态直方图均衡的图像增强算法。首先通过分析图像直方图的灰度分布情况来分割图像,并根据用户感兴趣灰度范围确定各子层图像的灰度映射范围及频数控制阈值;然后利用各自阈值重新定义子层直方图,并采用直方图均衡算法构造灰度转换函数,将子层灰度映射到指定范围内;最后综合各个子层的增强结果得到最后的增强图像。实验结果表明,该算法既能抑制过度增强的情况,又能对于用户感兴趣的灰度进行控制,能更好地满足用户对图像对比度增强可控的应用要求。
  • Kim J Y, Kim L S, and Hwang S H. An advanced contrastenhancement using partially overlapped sub-block histogramequalization. IEEE Trans. on Circuits and Systems for VideoTechnology, 2007, 11(4): 475-484.[2]江巨浪, 张佑生, 薛峰, 胡敏. 保持图像亮度的局部方图均衡算法. 电子学报, 2006, 34(5): 861-866.Jiang Ju-lang, Zhang You-sheng, Xue Feng, and Hu Min.Local histogram equalization with brightness preservation.Acta Electronica Sinica, 2006, 34(5): 861-866.[3] Menotti D, Najman L, Facon J, and de Araujo A A. Multihistogramequalization methods for contrast enhancementand brightness preserving. IEEE Trans. on ConsumerElectronics, 2007, 53(3): 1186-1194.[3]Mohammad A U K, Phan Tran Ho T, Rabya B, and Sara J.Vessel enhancement using directional-features. InformationTechnology Journal, 2007, 6(6): 851-857.[4]Fronthaler H, Kollreider K, and Bigun J. Local features forenhancement and minutiae extraction in fingerprints[J].IEEETrans. on Image Processing.2008, 17(3):354-363[5]Gasparini F, Corchs S, and Schettini R. Low-quality imageenhancement using visual attention[J].Optical Engineering.2007, 46(4):040502-[6]Zhou Shang-ming, Gan J Q, Xu Li-da, and John R.Interactive image enhancement by fuzzy relaxation[J].International Journal of Automation and Computing.2007,4(3):229-235[7]王保平, 刘升虎, 范九伦, 谢维信. 基于模糊熵的自适应图像多层次模糊增强算法. 电子学报, 2005, 33(4): 730-734.Wang Bao-ping, Liu Sheng-hu, Fan Jiu-lun , and Xie Wei-xin.An adaptive Multi-level image fuzzy enhancement algorithmbased on fuzzy entropy. Acta Electronica Sinica, 2005, 33(4):730-734.[8]Cheng Heng-da, Xue Mei, Shi Xiang-jin, and Zhang Ming.Novel contrast enhancement approach based on fuzzyhomogeneity[J].Optical Engineering.2007, 46(4):047002-[9]Wang Qing and Ward R K. Fast image/video contrastenhancement based on weighted thresholded histogramequalization[J].IEEE Trans. on Consumer Electronics.2007,53(2):757-764[10]Wang Bing-jian, Liu Shang-qian, Li Qing, and Zhou Hui-xin.A real-time contrast enhancement algorithm for infraredimages based on plateau histogram[J].Infrared Physics Technology.2006, 48(1):77-82[11]Jacobs K, Loscos C, and Ward G. Automatic high-dynamicrange image generation for dynamic scenes. IEEE ComputerGraphics and Applications, 2008, 28(2): 84-93.[12]Abdullah-Al-Wadud M, Kabir M H, Dewan M A A, and ChaeO. A dynamic histogram equalization for image contrastenhancement[J].IEEE Trans. on Consumer Electronics.2007,53(2):593-600
  • 加载中
计量
  • 文章访问数:  3415
  • HTML全文浏览量:  71
  • PDF下载量:  1156
  • 被引次数: 0
出版历程
  • 收稿日期:  2008-05-24
  • 修回日期:  2008-10-13
  • 刊出日期:  2009-06-19

目录

    /

    返回文章
    返回