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Blur Image Classification using Object Focusing Technique in E-Governance

by Sandeep Kumar, Rajeev Kumar, Meenu Kansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 5
Year of Publication: 2016
Authors: Sandeep Kumar, Rajeev Kumar, Meenu Kansal
10.5120/ijca2016909619

Sandeep Kumar, Rajeev Kumar, Meenu Kansal . Blur Image Classification using Object Focusing Technique in E-Governance. International Journal of Computer Applications. 141, 5 ( May 2016), 5-9. DOI=10.5120/ijca2016909619

@article{ 10.5120/ijca2016909619,
author = { Sandeep Kumar, Rajeev Kumar, Meenu Kansal },
title = { Blur Image Classification using Object Focusing Technique in E-Governance },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 5 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number5/24778-2016909619/ },
doi = { 10.5120/ijca2016909619 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:38.493840+05:30
%A Sandeep Kumar
%A Rajeev Kumar
%A Meenu Kansal
%T Blur Image Classification using Object Focusing Technique in E-Governance
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 5
%P 5-9
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

usually whenever Images is captured by satellite in different environment Like Landscape, forests, Hills, Dark, Shiny, Oceans Region and Different Geography. Than we have to improve these images because without clear images it’s really hard to get information. There are several methods used to improve the observation of these images like Histogram Equalization Technique, Local Histogram equalization technique, Discrete Cosine Transform, and Discrete Wavelet Transform method(DWT). All these technologies face troubles like failure of image info, loss of edge details etc. Wavelet transforms have become one of the very important and very powerful tool of signal representation and we can enhance our images by using this technique. Bicubic interpolation is used as an midway stage for appraising high frequency components and it is more refined than the nearest neighbor and bilinear techniques. The proposed technique has the benefits of superior resolution, sharper image and smoother edges by the DWT and bicubic.

References
  1. Y.-B. Li, H. Xiao, and S.-Y. Zhang, “The wrinkle generation method for facial reconstruction based on extraction of partition wrinkle line features and fractal interpolation,” in Proc. 4th ICIG, Aug. 22–24, 2007, pp. 933–937.
  2. Mohan, K.B. Jayarraman, U. Maheswaran, D. Sathiyaraj. G.Dhakshanamoorthi”A Novel Approach for Satellite Image Resolution Enhancement” International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-4, April 2013.
  3. AlptekinTemizel, Theo Vlachos,“WAVELET DOMAIN IMAGE RESOLUTION ENHANCEMENT USING CYCLE SPINNING AND EDGE MODELLING” in Eusipco2005.
  4. Rafael C Gonzalez,”Digital image processing ”.
  5. Temizel and T. Vlachos, “Wavelet domain image resolution enhancement u sing cycle-spinning,” Electron. Lett., vol. 41, no. 3, pp. 119–121, Feb. 3, 2005.
  6. A. Nosratinia, Denoising of JPEG Images by Re-application of JPEG”, Journal of VLSI Signal Processing, vol. 27, no. 1, nal of VLSI Signal Processing, vol. 27, no. 1.
  7. Remimol.A.M “A Method of DWT with Bicubic Interpolation for Image Scaling” Remimol.A.M et al. International Journal of Computer Science Engineering (IJCSE).
  8. A. Nosratinia, “Post-Processing of JPEG-2000 Images to Re move Compression Artifacts”, IEEE Signal Proc. Letters, Vol. 10, No. 10, pp. 296-299, Oct. 2003.
  9. Xin Li, “New Results of Phase Shifting in the Wavelet Space”, IEEE Signal Processing Letters, Vol.10, No.7, July 2003.
  10. H.W. Park, H.S. Kim, “Motion Estimation Using LowBand-Shift Method for Wavelet-Based Movidng-Picture Coding”, IEEE Trans. On Image Processing, vol 9, No.4, pp 577-587, April 2000.
  11. 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.
  12. 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.
  13. 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
  14. Rajeev Kumar, M.K. Sharma, “Advanced Neuro-Fuzzy Approach for Social Media Mining Methods using Cloud”, IJCA: International Journal of Computer Application; Volume 137 – No.10, March 2016: 56-58.
  15. Rajeev Kumar, Dr. M.K. Sharma, “Collision of ICT for Cloud Computing in e- Governance”. New York Science Journal 2013; 6(5):78-80.
  16. Rajeev Kumar, Dr. M. K. Sharma, “Cloud Application of e-Governance System Using Advanced Wireless Networks”. International Journal of Researcher 2013; 5(6):26-29.
  17. Rajeev Kumar, Dr. M.K. Sharma, “Advanced Architecture Algorithm of Sensor Based Robotics Security System Framework for e-Governance Technology”, International Journal of Computer Application, April 2012. Volume 43, Issue 3, pp- 1-4.
Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement DWT Bicubic interpolation satellite catpture image.

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