Multiresolution Color Denoising using Biorthogonal Wavelets for Satellite Images
Malini S1, Lizy Abraham2, R.S. Moni3
1Malini S, Research Scholar, LBS Centre for Science & Technology, Trivandrum (Kerala), India.
2Dr. Lizy Abraham, Assistant Professor, LBS Institute of Technology for Women, Trivandrum (Kerala), India.
3Dr. R.S. Moni, Professor, Marian Engineering College, Trivandrum (Kerala), India.
Manuscript received on 15 October 2015 | Revised Manuscript received on 25 October 2015 | Manuscript Published on 30 October 2015 | PP: 28-34 | Volume-5 Issue-1, October 2015 | Retrieval Number: A4269105115/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Satellite images are required to be of high quality since most of the databases created by different countries are using the images especially for Geographical Information System (GIS) applications and military purposes. Recently available high resolution multi spectral imaging sensors facilitate greatly the process of feature extraction which is given as the input to the database systems. But because of the sensor vibrations, different angle of inclinations, influence of clouds & shadows and many unwanted factors create noise in satellite images which ultimately affects the quality of feature extraction process. In this paper a novel method of multiresolution colour image denoising using bi-orthogonal wavelets is discussed. The method is compared with other orthogonal wavelet denoising schemes and existing techniques based on patch processing. Experimental analysis and visual inspection of images validates the superior performance of the proposed method.
Keywords: Multispectral, Biorthogonal, Daubechies, Decomposition, Multispec32, Quality Measures
Scope of the Article: Big Data Quality Validation