FPGA Implementation of High-fidelity Hybrid Reversible Watermarking Algorithm

2022 ◽  
pp. 104442
Author(s):  
Subhajit Das ◽  
A.K. Sunaniya
2017 ◽  
Vol 14 (1) ◽  
pp. 193-221 ◽  
Author(s):  
Sambaran Hazra ◽  
Sudip Ghosh ◽  
Sayandip De ◽  
Hafizur Rahaman

Cryptography ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 21 ◽  
Author(s):  
Amit Phadikar ◽  
Poulami Jana ◽  
Himadri Mandal

In this work, a reversible watermarking technique is proposed for DICOM (Digital Imaging and Communications in Medicine) image that offers high embedding capacity (payload), security and fidelity of the watermarked image. The goal is achieved by embedding watermark based on companding in lifting based discrete wavelet transform (DWT) domain. In the embedding process, the companding technique is used to increase the data hiding capacity. On the other hand, a simple linear function is used in companding to make the scheme easy to implement, and content dependant watermark is used to make the scheme robust to collusion operation. Moreover, unlike previously proposed reversible watermarking techniques, this novel approach does not embed the location map in the host image that ultimately helps to achieve high fidelity of the watermarked image. The advantage of the proposed scheme is demonstrated by simulation results and also compared with selected other related schemes.


IJIREEICE ◽  
2017 ◽  
Vol 5 (5) ◽  
pp. 308-313
Author(s):  
Swathy V ◽  
Vijayalakshmi K ◽  
B. Senthil Raja

2018 ◽  
Vol 17 (3) ◽  
pp. 155-160 ◽  
Author(s):  
Daniel Dürr ◽  
Ute-Christine Klehe

Abstract. Faking has been a concern in selection research for many years. Many studies have examined faking in questionnaires while far less is known about faking in selection exercises with higher fidelity. This study applies the theory of planned behavior (TPB; Ajzen, 1991 ) to low- (interviews) and high-fidelity (role play, group discussion) exercises, testing whether the TPB predicts reported faking behavior. Data from a mock selection procedure suggests that candidates do report to fake in low- and high-fidelity exercises. Additionally, the TPB showed good predictive validity for faking in a low-fidelity exercise, yet not for faking in high-fidelity exercises.


2019 ◽  
Vol 12 (1) ◽  
pp. 18-33 ◽  
Author(s):  
Horea Pauna ◽  
Pierre-Majorique Léger ◽  
Sylvain Sénécal ◽  
Marc Fredette ◽  
Élise Labonté-Lemoyne ◽  
...  

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