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Compare different techniques to retrieve image from database using MATLAB

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Reshu Choudhary *

Department of Electronics and Communication, Ph. D, Bhagwant University, Ajmer, India.

Review Article

International Journal of Science and Research Archive, 2023, 08(01), 562–564.
Article DOI: 10.30574/ijsra.2023.8.1.0089
DOI url: https://doi.org/10.30574/ijsra.2023.8.1.0089

Received on 13 December 2022; revised on 25 January 2023; accepted on 27 January 2023

Newly World Wide Web technologies, there is need to secure data. For securing data cryptography and other relevant techniques were introduced. Multimedia data stream, traditional textual based encryption schemes are not successful so there is need to develop new encryption schemes. During transmission and storage over a network, multimedia content such as digital images and other information are vulnerable to unauthorized access. The images used may be gray or color scale images. There are many measures for testing image quality, like as the mean structural similarity, and mean absolute error, Mean Square Error (MSE), and Peak Signal-to-Noise Ratio (PSNR). These are computed by averaging the squared intensity differences of distorted and original image pixels, along with the related quantity of the PSNR. Results of experiments show that same size images are efficiently encrypted with reliable maximum PSNR as compared with different size images. MATLAB2013a is used for simulation purpose. As refereed by the simulation results, the proposed system not only shows the efficiency in hiding the attributes but also provides better cover image selection.

Image Retrieve; MATLAB; Cryptography; Encryption

https://ijsra.net/node/1175

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Reshu Choudhary. Compare different techniques to retrieve image from database using MATLAB. International Journal of Science and Research Archive, 2023, 08(01), 562–564. https://doi.org/10.30574/ijsra.2023.8.1.0089

Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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