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Analysis of Image Enhancement Techniques Used in Remote Sensing Satellite Imagery

by Kriti Bajpai, Rishi Soni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 10
Year of Publication: 2017
Authors: Kriti Bajpai, Rishi Soni
10.5120/ijca2017914884

Kriti Bajpai, Rishi Soni . Analysis of Image Enhancement Techniques Used in Remote Sensing Satellite Imagery. International Journal of Computer Applications. 169, 10 ( Jul 2017), 1-11. DOI=10.5120/ijca2017914884

@article{ 10.5120/ijca2017914884,
author = { Kriti Bajpai, Rishi Soni },
title = { Analysis of Image Enhancement Techniques Used in Remote Sensing Satellite Imagery },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 10 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number10/28018-2017914884/ },
doi = { 10.5120/ijca2017914884 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:00.974136+05:30
%A Kriti Bajpai
%A Rishi Soni
%T Analysis of Image Enhancement Techniques Used in Remote Sensing Satellite Imagery
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 10
%P 1-11
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Satellite Imagery is used in various research domains. These images contain major quality issues. However, it can be improvised by image enhancement algorithms in terms of contrast, brightness, feature reduction from noise contents, etc. These algorithms are employed to focus, sharp or smooth image to exhibit and examine the image attributes. Hence, the objective of image enhancement depends on the precise application. The objective of this paper is to provide brief information about the image enhancement techniques; which fetches progressive and optimum results for remote-sensing satellite imagery. To achieve this end, we perform various image enhancement algorithms, which are popular in present scenario to boost the quality of the images in several application areas of image processing.

References
  1. P. M. Mather, Computer Processing of Remotely-Senced Images:An Introduction, third ed., Cited by 2434: Wiley Online Library, 3 April 1999 , p. 350.
  2. R. M. a. H. Aggarwal, "A Comprehensive Review of Image Enhancement Techniques," JOURNAL OF COMPUTING, vol. 2, no. 3, pp. 8-13, March 2010.
  3. Y. B. T. ,. S. I. J. J. Lokare, "Comparative Study of Spatial Domain Image Enhancement Techniques," Journal of Advances in Science and Technology, vol. 12, no. 25, pp. 284 - 287 (4) , december 2016.
  4. B. H. Aziz Makandar, "Image Enhancement Techniques using Highpass and Lowpass Filters," International Journal of Computer Applications (0975 – 8887), vol. 109, no. 14, pp. 12-15, January 2015.
  5. A. P. Unni, "Satellite Image Enhancement Using 2D Level DWT," International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 3, pp. 1926-1929, March 2014.
  6. A. K. Aditi Sharma, "Satellite Image Contrast and Resolution Enhancement using Discrete Wavelet Transform and Singular Value Decomposition," International Conference on Emerging Trends in Electrical, Electronics and Sustainable Energy Systems (ICETEESES–16) pp. 374-378,Sultanpur, India, 2016.
  7. S. K. Ritika, "Contrast Enhancement Techniques for Images–A Visual Analysis," International Journal of Computer Applications (0975 – 8887), vol. 64, no. 17, pp. 20-25, February 2013.
  8. T. G. Vinod Saini, "A comparative study of image enhancement using Image fusion," International Journal Of Advanced Reserch in Computer Science and Software Engineering, vol. 2, no. 10, pp. 141-145, october 2012.
  9. S. L. Y. L. K. Y. Zhiwen WANG, "Remote Sensing Image Enhancement Based on Orthogonal Wavelet Transformation Analysis and Pseudo-color Processing," International Journal of Computational Intelligence Systems, vol. 3, no. 6, pp. 745-753, December 2010.
  10. S. E. V. S Jayaraman, Digital Image Processing, vol. 13, The McGraw.Hill companies, 2009.
  11. Mathwork, "Matlab Documentation https://in.mathworks.com/help/matlab/examples.html".
  12. M. M. R. K. H. M. K. a. M. S. Shanto Rahman, "Image Enhancement in Spatial Domain: A Comprehensive Study," International Conference on Computer and Information Technology (ICCIT), vol. 4, no. 17, pp. 369-373, 2014.
  13. M. D. H. K. Sawant, "A Comprehensive Review of Image Enhancement Techniques," International Journal of Computer Technology and Electronics Engineering (IJCTEE), vol. 1, no. 2, pp. 39-44.
  14. V. A. S. G. Devarajan, "ANALYSIS OF MEDIAN FILTER".
  15. K.-K. M. How-Lung Eng, "Noise Adaptive Soft-Switching Median Filter," IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 10, no. 2, pp. 242-251, FEBRUARY 2001.
  16. P. V. S. P. Ahire Rina B., "Overview of Satellite Image Resolution Enhancement Techniques," vol. 3, no. 13, 2013.
  17. P. B.D Jadhav, "An Effective method for Satellite Image Enhancement," International Conferance Computing, Communication and Automation, pp. 1171-1175, 2015.
  18. S. K. Ammu Anna Mathew, "Brightness and Resolution Enhancement of Satellite Images using SVD and DWT," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 4, April 2013.
  19. Y. S. R.U Shehorkar, "Resolution Enhancement of Image Captured by Satellite Using DWT," International Journal of Multidisciplinary Research & Development, vol. 2, no. 7, pp. 238-243, June 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Remote Sensing Satellite Imagery Image Enhancement Resolution Spatial Domain Frequency Domain and Color enhancement.

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