Multi-Channel Image Denoising In Local Spectral Component Decomposition

Authors(1) :-G. Shankara Bhaskara Rao

Based on the low image quality and effect of noise in the conventional methods, a method is implemented for local spectral component decomposition on the line feature of local distribution. The use of local spectral components contributes to achieving better results compared with the result of the stand-alone conventional method. The aim is to reduce noise on multi-channel images by exploiting the linear correlation in the spectral domain of a local region. By calculating a linear feature over the spectral components of an M-channel image, the image is decomposed into three components as a single M-channel image and the two gray scale images. By virtue of the decomposition, the noise is concentrated on the two images and thus the algorithm denoises only the two gray scale images, regardless of the number of channels. As a result, the image deterioration due to the imbalance of the spectral component correlation can be avoided. This method is especially effective for hyper spectral images. Hyperspectral image denoising using a spectral line vector field uses the correlation among spectral information in the local region. The vectors are obtained by the local spectral component decomposition followed by iterative filtering steps. Filtering the spectral line component and the residual component gives significant effects in reducing the noise and smoothing results in the image. The increase in noise power and the number of channels processed affects the complexity of achieving more accurate spectral line vector estimation. This denoising method based on the spectral line is used in remote sensing field. This method improves image quality with less deterioration while preserving vivid contrast.

Authors and Affiliations

G. Shankara Bhaskara Rao
Associate Professor, Electronics & Communication Engineering, Sri Vasavi Engineering College, Tadepalligudem, Andhra Pradesh, India

Denoising, Local spectral component decomposition, Gray scale image, Spectral line, Hyperspectral image.

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Publication Details

Published in : Volume 3 | Issue 5 | July-August 2017
Date of Publication : 2017-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 686-693
Manuscript Number : IJSRSET184164
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

G. Shankara Bhaskara Rao, " Multi-Channel Image Denoising In Local Spectral Component Decomposition, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.686-693, July-August-2017.
Journal URL : http://ijsrset.com/IJSRSET184164

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