Review on Curvelet Transform and Its Applications

Authors

  • Arvind Kourav Research Scholar, Department of Electronics & Communication, D.K.N.M.U., Delhi - 110 025, India
  • Prashant Singh Computer Science & Engineering, ISC Software Pvt. Ltd., Bhopal - 462 039, India

DOI:

https://doi.org/10.51983/ajes-2013.2.1.1857

Keywords:

Image processing, Curve let transform, Wavelet Transform

Abstract

The Curve let Transform gives better performance in terms of PSNR. Face recognition is very important for many applications such as: video surveillance, criminal investigations and forensic applications, secure electronic banking, mobile phones, credit cards, secure access to buildings. The curvelet transform is a multi scale directional trans-form, which allows an almost optimal non adaptive sparse representation of objects with edges. Curvelet have also proven useful in diverse fields beyond the traditional image processing application

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Published

05-05-2013

How to Cite

Kourav, . A., & Prashant Singh. (2013). Review on Curvelet Transform and Its Applications. Asian Journal of Electrical Sciences, 2(1), 9–13. https://doi.org/10.51983/ajes-2013.2.1.1857