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Satellite image enhancement: systematic approach for denoising and resolution enhancement

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Makale Dosyası (184.3Kb)

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info:eu-repo/semantics/embargoedAccess

Date

2016-05

Author

Anbarjafari, Gholamreza
Rasti, Pejman
Tasmaz, Haci
Daneshmand, Morteza
Kiefer, Rudolf

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Citation

Rasti, P., Daneshmand, M., Anbarjafari, G., Tasmaz, H., Rasti, P., Daneshmand, M., Kiefer, R., ... Anbarjafari, G. (May 01, 2016). Mejora de la imagen de satélite: enfoque sistemático para reducción de ruido y mejora de resolución. Dyna (spain), 91, 3, 326-329.

Abstract

This paper proposes a satellite image enhancement system consisting of denoising and resolution enhancement. The technique firstly decomposes the noisy input image into different frequency subbands by using Dual Tree Complex Wavelet transform and denoises these subbands by using Local Adaptive Bivariate Shrinkage Function. Then the denoised image once more is decomposed into the different frequency subbands by using Discrete Wavelet Transform. Interpolated high frequency subbands and the denoised image are used to obtain the super resolved image by applying Inverse DWT. The quantitative and qualitative experimental results are showing the superiority of the proposed method over the conventional and the state-of-the-art techniques.

Source

DYNA

Volume

91

Issue

3

URI

https://doi.org/10.6036/7676
https://hdl.handle.net/20.500.11782/781

Collections

  • MF - EEM Makale Koleksiyonu [97]
  • Scopus İndeksli Yayınlar Koleksiyonu [609]
  • WoS İndeksli Yayınlar Koleksiyonu [664]



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