DESIGN IMPLEMENTATION AND HARDWARE STRUCTURE FOR IMAGE ENHANCEMENT AND SURFACE ROUGHNESS WITH FEATURE EXTRACTION USING DISCRETE WAVELET TRANSFORM
Syed Jahangir Badashah1 & P. Subbaiah2 Show affiliations
- Research Scholar of Sathyabama University, India
- Anna University, India
Journal of Computer Science, Volume 10, Issue 2, pp. 347–352 · doi.org/10.3844/jcssp.2014.347.352
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.
Licence and reuse
Free to read. This article carries the publisher’s copyright, as printed on it: © 2014 Science Publications. It is free to read; ask us before reusing it.
How to reuse this articleResponses (0)
About this article
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
- Licence
- © Science Publications
- Issue
- Volume 10, Issue 2
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record