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Satellite Image (Multispectral) Enhancement Techniques in Wavelet Domain: An Overview

by Rohini B. Dhekale, B. D. Jadhav, P. M. Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 11
Year of Publication: 2015
Authors: Rohini B. Dhekale, B. D. Jadhav, P. M. Patil
10.5120/19711-1476

Rohini B. Dhekale, B. D. Jadhav, P. M. Patil . Satellite Image (Multispectral) Enhancement Techniques in Wavelet Domain: An Overview. International Journal of Computer Applications. 112, 11 ( February 2015), 16-20. DOI=10.5120/19711-1476

@article{ 10.5120/19711-1476,
author = { Rohini B. Dhekale, B. D. Jadhav, P. M. Patil },
title = { Satellite Image (Multispectral) Enhancement Techniques in Wavelet Domain: An Overview },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 11 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number11/19711-1476/ },
doi = { 10.5120/19711-1476 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:12.956352+05:30
%A Rohini B. Dhekale
%A B. D. Jadhav
%A P. M. Patil
%T Satellite Image (Multispectral) Enhancement Techniques in Wavelet Domain: An Overview
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 11
%P 16-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Satellite images are used in many applications like military, forecasting, astronomy, and geographical information. Satellite images have to face spatial and spectral resolution problems due to scattering, atmospheric conditions, etc. , also they have poor perception. This limitation of resolution needs to be overcome before further processing. The goal of image resolution enhancement is to improve specific features of an image for its correct representation. Better resolution is obtained by applying enhancement techniques on blurred and noisy images. In this paper various image enhancement techniques under wavelet domain like WZP, DWT, and DT-CWT are discussed. This paper also gives selection of suitable enhancement technique

References
  1. S. S. Bedi, Rati Khandelwal, 2013, "Various Image Enhancement Techniques- A Critical Review", Ineternational Journal of Advanced Research in Computer and Communication Engineering, vol. 2, issue 3.
  2. K. Narasimhan, V. Elamaran, Saurav Kumar, Kundan Sharma, and Pogaku Raghavendra Abhishek, 2012, "Comparison of Satellite Image Enhancement Techniques in Wavelet Domain", Research Journal of Applied Sciences, Engineering and Technology.
  3. Hasan Demirel and Gholamreza Anbarjafari, 2011, "Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement", IEEE Trans. ON Geoscience and Remote Sensing, vol. 49, no. 6.
  4. Christopher e. Heily and david f. Walnuty, 1989, "Continuous and Discrete Wavelet Transforms", SIAM review vol. 31, no. 4, pp. 628-666,
  5. Hwa-Hyun Cho, Seong-Ho Kim, and Tae-Kyung Cho, and Myung-Ryul Choi, 2005, "Efficient Image Enhanc. Technique by Decimation Method", IEEE Trans. ON Geoscience and Remote Sensing vol. 51, no. 2
  6. Fabrizio Russo, 2002, "An Image Enhancement Technique Combining Sharpening and Noise Reduction", IEEE Trans. On Instrumentation and Measurement, vol. 51, no. 4.
  7. Hasan Demirel and Gholamreza Anbarjafari, 2011, "Image Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition", IEEE Trans. on Image Processing, vol. 20, no. 5.
  8. Ahire Rina, Patil V. S, 2013, "Overview of Satellite Image Resolution Enhancement Techniques", IEEE, 978 vol-1, no. -3, pp-4673-5999.
  9. R. Vani1, Dr. R. Soundararajan, 2013, "DWT and P C a Based Image Enhancement with local Neighborhood filter Mask", IOSR Journal of Computer Engineering, 8727Volume 9, Issue 2, PP 67-70.
  10. Hasan Demirel and Gholamreza Anbarjafari, 2010, "Satellite Image Resolution Enhancement Using Complex Wavelet Transform", IEEE Trans. ON Geoscience and Remote Sensing vol. 7, no. 1.
  11. Robert G. Keys, 1981, "Cubic convolution interpolation for digital image processing", IEEE Trans. on Acoustics, Speech and Signal Processing, vol-29, no. 6.
  12. A. Temizel and T. Vlachos, 2005, "Wavelet Domain Image Resolution Enhancement using Cycle-spinning", Electronics Letters, vol. 41, no. 3.
  13. Y. Piao, I. Shin, and H. W. Park, 2007, "Image resolution enhancement using inter-subband correlation in wavelet domain", in Proc. ICIP, vol. 1.
  14. Turgay Celik and Huseyin Kusetogullari, 2009, "Self-sampled image resolution enhancement using dual-tree complex wavelet transform", in European Signal Processing Conference, Glasgow, Scotland.
  15. Alexander Hildebrand, Claas Falldorf, Christoph von Kopylow and Ralf B. Bergmann, 2010, "Resolution Enhancement by Time- Multiplexed Acquisition of Sub-Pixel Shifted Images Employing a Spatial Light Modulator", Germany.
  16. M. S. Crouse, R. D. Nowak, and R. G. Baraniuk, 1998, "Wavelet-based statistical signal processing using hidden Markov models", IEEE Trans. Signal Process. , vol. 46, no. 4, pp. 886–902.
  17. Syed Roshaan Ali, Shahid Pervaz, 2013, "Use of Fourier Transformations and Wavelets for Satellite Image Processing", International Conference on Aerospace Science & Engineering (ICASE).
  18. Naveen Dhillon, Kuldeep Sharma, Kanika Kaushal, 2012, "Analysis of Wavelet Transform and Faast wavelet transform for Image Compression: Review", International Journal of Advanced Research in Computr Engg, and Technology, vol-1, issue-5.
  19. Devis Tuia, Gastavo Camps-Valls, 2009, "Recent Advances in Remote Sensing Image Processing", ICIP, vol. -1, no-3, pp-4244-5654.
Index Terms

Computer Science
Information Sciences

Keywords

Satellite Image enhancement Wavelet Transform Remote sensing Multispectral image enhancement Interpolation.

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