skip to main content
10.1145/2743065.2743072acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicarcsetConference Proceedingsconference-collections
research-article

A New Proposed Multi Resolution Histogram Self Organization Map Filter (MRHSOMF)

Published:06 March 2015Publication History

ABSTRACT

Histogram Equalization is a simple and effective technique for image contrast enhancement. But in does not preserve the brightness. Bi-histogram equalization (BBHE) has been proposed and analyzed mathematically that it can preserve the original brightness to a certain extends. Image Dependent Brightness Preserving Histogram Equalization (IDBPHE) technique is a better technique for contrast enhancement but it's not always giving best Absolute Mean Brightness Error (AMBE). Multi Resolution Histogram Self Organizing Map Filter (MRHSOMF) provides not only better contrast but also it gives better scalable brightness preservation. First the image is decomposed into equal area sub-images based on Probability Density Function (PDF). Curvlet transform is used to identify the bright region. Separation of histogram on the basis of threshold level which give the minimum AMBE value. Self Organizing Map (SOM) is used to maintain the correct Euclidean distance which gives the better value of PSNR. Experiment results shows that proposed method gives the better AMBE and PSNR results compared with other methods.

References

  1. R. Gonzalez and R. Woods, Digital Image Processing, 2nd ed. Prentice Hall, Jan. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. Wang and Z. Ye, "Brightness preserving histogram equalization with maximum entropy: A variational perspective," IEEE Trans. On Consumer Electronics, vol. 51, no. 4, pp. 1326–1334, Nov. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S.-D. Chen and A. Ramli, "Minimum mean brightness error bi-histogram equalization in contrast enhancement," IEEE Trans. on Consumer Electronics, vol. 49, no. 4, pp. 1310–1319, Nov. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Y. Wang, Q. Chen, and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method," IEEE Trans. on Consumer Electronics, vol. 45, no. 1, pp. 68–75, Feb. 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Soong-Der Chen and Abd. Rahman Ramli, "Minimum mean brightness error bi-histogram equalization in contrast enhancement," IEEE Trans. Consumer Electron., vol. 49, no. 4, pp. 1310–1319, Nov.2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Soong-Der Chen and Abd. Rahman Ramli, "Contrast enhancement using recursive mean-separate histogram equalization for scalableGoogle ScholarGoogle Scholar
  7. brightness preservation," IEEE Trans. Consumer Electron., vol. 49, no.4, pp. 1301–1309, Nov. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. K. S. Sim, C. P. Tso and Y. Y. Tan, "Recursive sub-image histogram equalization applied to gray scale images," Pattern Recognition Letters, vol. 28, no. 10, pp. 1209–1221, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. D. Menotti, L. Najman, J. Facon and A. A. Araujo, "Multi-histogram equalization methods for contrast enhancement and brightnessGoogle ScholarGoogle Scholar
  10. H. Ibrahim and N. S. P. Kong, "Brightness preserving dynamic histogram equalization for image contrast enhancement," IEEE Trans. Consumer Electron., vol. 53, no. 4, pp. 1752–1758, Nov. 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Nyamlkhagva Sengee and Heung Kook Choi, "Brightness Preserving Weight Clustering Histogram Equalization," IEEE Trans. Consumer Electron., vol. 54, no. 3, pp. 1329–1337, Aug. 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Hojat Yeganeh, Ali Ziaei and Amirhossein Rezaie, "A novel approach for contrast enhancement based on histogram equalization," In Proceedings of the International Conference on Computer and Communication Engineering, pp. 256–260, 2008.Google ScholarGoogle Scholar
  13. S. Aghagolzadeh and O. K. Ersoy, "Transform image enhancement," Opt. Eng., vol. 31, pp. 614626, Mar. 1992.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. A New Proposed Multi Resolution Histogram Self Organization Map Filter (MRHSOMF)

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        ICARCSET '15: Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015)
        March 2015
        349 pages
        ISBN:9781450334419
        DOI:10.1145/2743065
        • General Chair:
        • S. A. Khadar,
        • Program Chair:
        • R. Nanarayan T.

        Copyright © 2015 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 March 2015

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited

        Acceptance Rates

        ICARCSET '15 Paper Acceptance Rate62of369submissions,17%Overall Acceptance Rate62of369submissions,17%
      • Article Metrics

        • Downloads (Last 12 months)0
        • Downloads (Last 6 weeks)0

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader