INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
ADAPTIVE FILTER USING FOR SATELLITE IMAGE RESTORATION: A REVIEW
Authors Name:
Priya Lodhi
, Prof. Silky Pareyani
Unique Id:
IJSDR1811001
Published In:
Volume 3 Issue 11, November-2018
Abstract:
: Satellite images in course of capturing & transmitting are frequently degraded due to channel effects or uncertain conditions. These effects introduce different noise patterns such as, Additive White Gaussian Noise, Salt & Pepper Noise & Mixed Noise. Therefore, retrieved images are highly noise corrupted because image contents are more attenuated or amplified. selection of optimum image restoration & filtering technique depends to have knowledge about characteristics of degrading system & noise pattern in an image. In this thesis, Extended Recursive Least Square (ERLS) adaptive algorithm & kernel diffeomorphism filter (KDF) is used of image restoration from highly noise corrupted images. implementation of proposed methodology is being carried out by estimating noise patterns of wireless channel through configuring System Identification with ERLS adaptive algorithm. Then, these estimated noise patterns are eliminated by configuring Signal Enhancement with ERLS algorithm. restored images are functioned of further denoising & enhancement techniques.
Keywords:
KDF: extended Kernel diffeomorphism filter, RLS: Recursive least square, LMS: Least mean square, SNR: Signal to Noise Ratio, AWGN: Additive White Gaussian Noise
Cite Article:
"ADAPTIVE FILTER USING FOR SATELLITE IMAGE RESTORATION: A REVIEW", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.1 - 4, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811001.pdf
Downloads:
000337077
Publication Details:
Published Paper ID: IJSDR1811001
Registration ID:180758
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 1 - 4
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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