Image Enhancement of Historical Image Using Image Enhancement Technique

  • Roshan Raj Jajware
  • Ram Bhushan Agnihotri
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)


Image enhancement technique is one of the very challenging issues in the image processing technique. The main motive of the image enhancement process is to work on an image or picture so that the result should be more applicable than original. Historical docs are very important origin of information, but it commonly suffers from the problem of getting degrade. The main aim is to keep all of these documents secure and alive. The purpose is to enhance the quality and visualization of the historical image. In this paper, we have used improved adaptive histogram equalization of the contrast of the image, and we have analyzed the result.


Historical Image Color Histogram Document L*A*B* color space RGB color space Entropy 


  1. 1.
    Hong L, Wan Y, Jain A (1998) Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans Pattern Anal Mach Intell 20(8):777–789CrossRefGoogle Scholar
  2. 2.
    Lee J-S (1980) Digital image enhancement and noise filtering by use of local statistics. IEEE Trans Pattern Anal Mach Intell 2:165–168CrossRefGoogle Scholar
  3. 3.
    Shi Z, Govindaraju V (2004) Historical document image enhancement using background light intensity normalization. In: Proceedings of the 17th international conference on pattern recognition, ICPR 2004, vol 1. IEEE, pp 473–476Google Scholar
  4. 4.
    Maini R, Aggarwal H (2010) A comprehensive review of image enhancement techniques. Preprint at arXiv: 1003.4053Google Scholar
  5. 5.
    Likforman-Sulem L, Darbon J, Smith EHB (2011) Enhancement of historical printed document images by combining total variation regularization and non-local means filtering. Image Vis Comput 29(5):351–363CrossRefGoogle Scholar
  6. 6.
    Pal NR, Pal SK (1993) A review on image segmentation techniques. Pattern Recognit 26(9):1277–1294CrossRefGoogle Scholar
  7. 7.
    Sheppard AP, Sok RM, Averdunk H (2004) Techniques for image enhancement and segmentation of tomographic images of porous materials. Phys A Stat Mech Appl 339(1–2):145–151CrossRefGoogle Scholar
  8. 8.
    Catté F et al (1992) Image selective smoothing and edge detection by nonlinear diffusion. SIAM J Numer Anal 29(1):182–193MathSciNetCrossRefGoogle Scholar
  9. 9.
    Lund Mark D (1997) Pixel image edge-smoothing method and system. US Patent No. 5,650,858. 22 Jul 1997, pp 195–199Google Scholar
  10. 10.
    Image processing techniques such as noise filtering, histogram equalization and power law transformation have been used to result in better representation of imagesGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Roshan Raj Jajware
    • 1
  • Ram Bhushan Agnihotri
    • 1
  1. 1.Amity University NoidaNoidaIndia

Personalised recommendations