Exploiting de-noising convolutional neural networks DnCNNs for an efficient watermarking scheme: a case for information retrieval

Tariq Rahim, Saud Khan, Muhammad Arslan Usman, Soo Young Shin

Research output: Contribution to journal › Article › peer-review

Keywords

@article{0e6f855ae71d42f997126bbe39102915,

title = "Exploiting de-noising convolutional neural networks DnCNNs for an efficient watermarking scheme: a case for information retrieval",

keywords = "Electrical and Electronic Engineering, Computer science and informatics",

author = "Tariq Rahim and Saud Khan and Usman, \{Muhammad Arslan\} and Shin, \{Soo Young\}",

year = "2021",

doi = "10.1080/02564602.2020.1721342",

language = "English",

volume = "38",

pages = "245--255",

journal = "IETE Technical Review",

issn = "0256-4602",

publisher = "Informa UK Limited",

number = "2",

}

TY - JOUR

T1 - Exploiting de-noising convolutional neural networks DnCNNs for an efficient watermarking scheme

T2 - a case for information retrieval

AU - Rahim, Tariq

AU - Khan, Saud

AU - Usman, Muhammad Arslan

AU - Shin, Soo Young

PY - 2021

Y1 - 2021

KW - Electrical and Electronic Engineering

KW - Computer science and informatics

U2 - 10.1080/02564602.2020.1721342

DO - 10.1080/02564602.2020.1721342

M3 - Article

SN - 0256-4602

VL - 38

SP - 245

EP - 255

JO - IETE Technical Review

JF - IETE Technical Review

IS - 2

ER -