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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | SATELLITE IMAGE RESTORATION BASED ON UNIQUE MIXING OF ERLS AND EXTENDED KERNEL DIFFEOMORPHISM FILTER |
| Authors Name: | Priya Lodhi , Prof. Silky Pareyani |
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IJRTI_180552
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| Published Paper Id: | IJRTI1810029 |
| Published In: | Volume 3 Issue 10, October-2018 |
| DOI: | |
| Abstract: | Satellite images in course of capturing and 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 and Mixed Noise. Therefore, retrieved images are highly noise corrupted because the image contents are more attenuated or amplified. The selection of optimum image restoration and filtering technique depends to have knowledge about the characteristics of degrading system and noise pattern in an image. In this thesis, Extended Recursive Least Square (ERLS) adaptive algorithm and kernel diffeomorphism filter (KDF) is used for image restoration from highly noise corrupted images. The implementation of proposed methodology is being carried out by estimating the 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. The restored images are functioned for further denoising and enhancement techniques. The image restoration and further processing algorithms are simulated in MATLAB environment. The performance is evaluated by means of Human Visual System, quantitative measures in terms of MSE, RMSE, SNR & PSNR and by graphical measures. The experimental results demonstrate that RLS adaptive algorithm efficiently eliminated noise from distorted images and delivered a virtuous evaluation without abundant degradation in performance. |
| Keywords: | EKDF: extended Kernel diffeomorphism filter, RLS: Recursive least square, LMS: Least mean square, SNR: Signal to Noise Ratio, AWGN: Additive White Gaussian Noise |
| Cite Article: | "SATELLITE IMAGE RESTORATION BASED ON UNIQUE MIXING OF ERLS AND EXTENDED KERNEL DIFFEOMORPHISM FILTER", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 10, page no.176 - 185, October-2018, Available :http://www.ijrti.org/papers/IJRTI1810029.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1810029
Registration ID:180552
Published In: Volume 3 Issue 10, October-2018
DOI (Digital Object Identifier):
Page No: 176 - 185 Country: jabalpur, MP, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1810029 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1810029 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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