International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 179 - Issue 4 |
Published: Dec 2017 |
Authors: A. D. Senthil Kumar, T. S. Anandhi, Ranganath Muthu |
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A. D. Senthil Kumar, T. S. Anandhi, Ranganath Muthu . Analysis of Pixel Merging for Multi Image Integration for Security Enhancement. International Journal of Computer Applications. 179, 4 (Dec 2017), 6-11. DOI=10.5120/ijca2017915915
@article{ 10.5120/ijca2017915915, author = { A. D. Senthil Kumar,T. S. Anandhi,Ranganath Muthu }, title = { Analysis of Pixel Merging for Multi Image Integration for Security Enhancement }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 179 }, number = { 4 }, pages = { 6-11 }, doi = { 10.5120/ijca2017915915 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A A. D. Senthil Kumar %A T. S. Anandhi %A Ranganath Muthu %T Analysis of Pixel Merging for Multi Image Integration for Security Enhancement%T %J International Journal of Computer Applications %V 179 %N 4 %P 6-11 %R 10.5120/ijca2017915915 %I Foundation of Computer Science (FCS), NY, USA
This paper focus on image security based on compressing the image with encryption and pixel integration. This process involves applying Joint Photographic Experts Group compression for RGB layers, encrypting the images with Elliptic Curve Encryption Algorithm and block based interleaving followed by pixel based integration technique. With the key specifically generated for the image, the original image is decrypted from multiple images. This method is useful when access permissions needs to be restricted to certain viewers. The proposed method provides a high-level security in the fields of aerospace, national security, military, financial and economic, and so on. Performance is evaluated by calculating the correlation coefficient and entropy values.