UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCY06022


Registration ID:
219732

Page Number

139-144

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Title

Image Denoising Using Spectral Component Decomposition

Abstract

The propose a method for local spectral component decomposition based on the line feature of local distribution. The aim is to reduce noise on multi-channel images by exploiting the linear correlation in the spectral domain of a local region. Thefirst step is to calculate a linear feature over the spectral components of an M-channel image, which we call the spectral line, and then, using the line, we decompose the image into three components: a single M-channel image and two gray-scale images. By virtue of the decomposition, the noise is concentrated on the two images, and thus our algorithm needs to denoise only the two gray- scale images, regardless of the number of the channels. As a result, image deterioration due to the imbalance of the spectral component correlation can be avoided. The experiment shows that our method improves image quality with less deterioration while preserving vivid contrast. The method is especially effective for hyperspectral images. The experimental results demonstrate that our proposed method can compete with the other state-of- the-art denoising methods.

Key Words

Spectral line, local spectral component decom- position, denoising, hyperspectral image.

Cite This Article

"Image Denoising Using Spectral Component Decomposition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.139-144, May 2019, Available :http://www.jetir.org/papers/JETIRCY06022.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Image Denoising Using Spectral Component Decomposition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp139-144, May 2019, Available at : http://www.jetir.org/papers/JETIRCY06022.pdf

Publication Details

Published Paper ID: JETIRCY06022
Registration ID: 219732
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 139-144
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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