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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

DESIGN IMPLEMENTATION AND HARDWARE STRUCTURE FOR IMAGE ENHANCEMENT AND SURFACE ROUGHNESS WITH FEATURE EXTRACTION USING DISCRETE WAVELET TRANSFORM

Syed Jahangir Badashah1 and P. Subbaiah2
  • 1 Research Scholar of Sathyabama University, India
  • 2 Anna University, India

Abstract

In this study we provide the implementation design and hardware structure for the architecture proposed in the previous paper "Image Enhancement and Surface Roughness with Feature Extraction using DWT" IEEE DoI/10.1049/cp.2011.0464. The proposed architecture has been implemented in Microwind and Tanner for power analysis and characteristic study. The result shows very low power consumption than the existing method for a series of IEEE standard test images.

Journal of Computer Science
Volume 10 No. 2, 2014, 347-352

DOI: https://doi.org/10.3844/jcssp.2014.347.352

Submitted On: 20 August 2013 Published On: 20 November 2013

How to Cite: Badashah, S. J. & Subbaiah, P. (2014). DESIGN IMPLEMENTATION AND HARDWARE STRUCTURE FOR IMAGE ENHANCEMENT AND SURFACE ROUGHNESS WITH FEATURE EXTRACTION USING DISCRETE WAVELET TRANSFORM. Journal of Computer Science, 10(2), 347-352. https://doi.org/10.3844/jcssp.2014.347.352

Open AccessCopyright: © 2014 Syed Jahangir Badashah and P. Subbaiah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Surface Roughness
  • Milling
  • Grinding
  • Noisy Filter
  • Edge Detector
  • Image Enhancement