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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}
}

⬇ .bib

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  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2022.v7.i09.pp212-216",
    "DOI": "10.46243/jst.2022.v7.i09.pp212-216",
    "URL": "https://doi.org/10.46243/jst.2022.v7.i09.pp212-216",
    "title": "Implementation of Lightweight Encryption for Real Time Multimedia System using Discrete Wavelet Transforms",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Dr. A. Venkateswarlu",
            "given": "Dr. A. Venkateswarlu"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2022,
                5,
                11
            ]
        ]
    },
    "volume": "7",
    "issue": "9",
    "page": "212-216",
    "publisher": "Longman Publishers",
    "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",
    "ISSN": "2456-5660"
}

⬇ .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.

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