Volume-3 , Issue-3 , Jun 2015, ISSN 2320-7639 (Online) Go Back

• Open Access   Article

  A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation

  Bidyut Saha

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.3 , Issue.3 , pp.1-5, May-2015

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  Abstract
  Histogram Equalization (HE) is a simple and effective image enhancement technique. But, it tends to change the mean brightness of the image to the middle level of the permitted range, and hence is not a very suitable for consumer product. While preserving the original brightness is essential to avoid annoying artifacts. To preserve brightness and to enhance contrast of image, numerous methods are introduced, but many of them present unwanted artefacts such as intensity saturation, over-enhancement and noise amplification. In the present project , available histogram equalization based methods will be reviewed and compared with image contrast.

  Key-Words / Index Term
  Histogram Equalization, MMBEBHE, BI-Histogram Equalization

  References
  [1]. Raju. A, Dwarakish. S. G and D. Venkat Reddy, “International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6, No.5, p.p.353-366, (2013).
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  [3]. David Menotti, Laurent Najman, Jacques Facon and Arnaldo de A. Araujo on “Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving” , IEEE Transactions on Consumer Electronics, Vol-53, No-3, August-2007.
  [4]. Rafael C Gonzalez and Richard E Woods, Digital Image Processing, Pearson Education, Second Edition, 2002.
  

  Citation
  Bidyut Saha, "A Comparative Analysis of Histogram Equalization Based Image Enhancement Technique for Brightness Preservation," International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.3, pp.1-5, 2015

• Open Access   Article

  Review on Multi Pitch Detection in Speech

  Rupinder Kaur and Navdeep Kumar

  Review Paper | Isroset-Journal (IJSRCSE)

  Vol.3 , Issue.3 , pp.6-10, May-2015

  Abstract

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  Abstract
  This paper includes the review of research being carried on multiple pitches detection in an audio signal. It includes determining multiple fundamental frequency or different pitched sounds. It discusses different algorithms used to identify different speeches spoken at one time. Although, this technique is used for various applications of speech recognition, but it is widely used in music transcription.

  Key-Words / Index Term
  Speech Recognition, MFCC, LPC, Pitch Tracking, Multiple Pitch Estimation

  References
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  Citation
  Rupinder Kaur and Navdeep Kumar, "Review on Multi Pitch Detection in Speech," International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.3, pp.6-10, 2015