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Reseach Article

Texture Synthesis using Energy Compaction Property of Different Transforms

by D. Ramesh Varma, K. Pavan Raju, M. V. R. V Prasad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 167 - Number 8
Year of Publication: 2017
Authors: D. Ramesh Varma, K. Pavan Raju, M. V. R. V Prasad
10.5120/ijca2017914336

D. Ramesh Varma, K. Pavan Raju, M. V. R. V Prasad . Texture Synthesis using Energy Compaction Property of Different Transforms. International Journal of Computer Applications. 167, 8 ( Jun 2017), 16-19. DOI=10.5120/ijca2017914336

@article{ 10.5120/ijca2017914336,
author = { D. Ramesh Varma, K. Pavan Raju, M. V. R. V Prasad },
title = { Texture Synthesis using Energy Compaction Property of Different Transforms },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 167 },
number = { 8 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume167/number8/27792-2017914336/ },
doi = { 10.5120/ijca2017914336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:14:17.984499+05:30
%A D. Ramesh Varma
%A K. Pavan Raju
%A M. V. R. V Prasad
%T Texture Synthesis using Energy Compaction Property of Different Transforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 167
%N 8
%P 16-19
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image processing is one of the trending issues in the world of big data. The discovery of data from an image is a complex task in everyone’s day to day life. In this paper, the texture synthesis is done with the help of energy compaction property of various transforms. The images are subjected to various combinations of transformations like DCT, DWT and Daubechies. The energy compaction of these transforms is explained in this paper. This property is used for restoring the images which are blurred due to atmospheric turbulence, motion blur and the images which are affected due to noise present in the channel. From the experiments, the DCT is having good energy compaction, but instead of using two-dimensional transform, three-dimensional transform (2D + 1D) will give the better results when compared to the 2D transform for synthesizing the textures.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Texture synthesis Energy Compaction Transform.