Cite this DOI
10.46243/jst.2022.v7.i09.pp212-216 · Implementation of Lightweight Encryption for Real Time Multimedia System using Discrete Wavelet Transforms
APA (7th edition)
Dr. A. Venkateswarlu, D. A. V. (2022). Implementation of Lightweight Encryption for Real Time Multimedia System using Discrete Wavelet Transforms. *Journal of Science & Technology*, *7*(9), 212–216. https://doi.org/10.46243/jst.2022.v7.i09.pp212-216
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{dravenkateswarlu2022implementation,
author = {Dr. A. Venkateswarlu, Dr. A. Venkateswarlu},
title = {{Implementation of Lightweight Encryption for Real Time Multimedia System using Discrete Wavelet Transforms}},
journal = {Journal of Science \& Technology},
year = {2022},
month = {may},
volume = {7},
number = {9},
pages = {212--216},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2022.v7.i09.pp212-216},
url = {https://doi.org/10.46243/jst.2022.v7.i09.pp212-216},
language = {en},
abstract = {A discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled. As with other wavelet transforms, a key advantage it has over Fourier transforms is temporal resolution as it captures both frequency and location information. DWT filter provides a high compression ratio and image reconstruction quality so as to serve the end user requir ements. Some other desired features include low hardware cost, low power requirements and high throughput o f the system. The purposed DWT introduces a zero -overhead encryption and authentication scheme for real time embedded multimedia systems. The parameterized construction of the Discrete Wavelet Transform (DWT) compression block is used to introduce a free p arameter in the design}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Implementation of Lightweight Encryption for Real Time Multimedia System using Discrete Wavelet Transforms AU - Dr. A. Venkateswarlu, Dr. A. Venkateswarlu JO - Journal of Science & Technology PY - 2022 DA - 2022/05/11/ VL - 7 IS - 9 SP - 212 EP - 216 PB - Longman Publishers SN - 2456-5660 LA - en AB - A discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled. As with other wavelet transforms, a key advantage it has over Fourier transforms is temporal resolution as it captures both frequency and location information. DWT filter provides a high compression ratio and image reconstruction quality so as to serve the end user requir ements. Some other desired features include low hardware cost, low power requirements and high throughput o f the system. The purposed DWT introduces a zero -overhead encryption and authentication scheme for real time embedded multimedia systems. The parameterized construction of the Discrete Wavelet Transform (DWT) compression block is used to introduce a free p arameter in the design DO - 10.46243/jst.2022.v7.i09.pp212-216 UR - https://doi.org/10.46243/jst.2022.v7.i09.pp212-216 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i09.pp212-216 gives all four in one JSON answer.
