A New Encryption and Decryption for 3D MRT Images

Kumar, Pala Mahesh

doi:10.51983/ajes-2017.6.1.1996

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

2024

Publication Types

Select...

Article2

Other2

Book1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Detection and Classification of Skin Cancer Using Back Propagation Ann

Murali Mohan,

Murali Mohan Kumar,

Vennela

et al. 2024

Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering

View full text Add to dashboard Cite

Detection and Classification of Skin Cancer Using Back Propagation Ann

Murali Mohan,

Murali Mohan Kumar,

Vennela

et al. 2024

Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering

View full text Add to dashboard Cite

Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach

Rao¹,

Jayasree²,

Rao³

2021

Soft Comput

View full text Add to dashboard Cite

In the last two decades, it has been observed that there have been remarkable advancements in digital media communication. It has lots of advantages and business potential as it needs no physical media or transport. However, digital media can also create several big problems for media owners due to unauthorized use, ease of replication, plasticity, and equivalence of works in digital form. The possible solution is to secure digital media by cover writing which can also referred as steganography. Therefore, this article focusing on development of hybrid speech steganography system using spread spectrum-based redundant discrete wavelet transform (SS-RDWT). In general, speech steganography utilizes cover speech to embed the secrete message, however, the cover speech might be larger in size and contains many pauses, which requires more storage capacity, higher computational time, and even higher power usage results in system performance degradation. Hence, in addition to the proposed SS-RDWT approach, an intelligent pause detection protocol (IPDP) with maximum likelihood estimation (MLE) technique is employed for removing pause from cover speech signal, which reduces the transmission bandwidth, storage capacity and power consumption as well. Simulation results demonstrate that proposed hybrid steganography using integrated SS-RDWT with IPDP-MLE approach obtained superior performance as compared to state-of-art approaches.

show abstract

Deep convolutional neural networks based image fusion method using pyramid decomposition for medical applications

Mishra,

Somala

2023

AIP Conference Proceedings

View full text Add to dashboard Cite

A New Encryption and Decryption for 3D MRT Images

Cited by 5 publications

References 0 publications

Detection and Classification of Skin Cancer Using Back Propagation Ann

Detection and Classification of Skin Cancer Using Back Propagation Ann

Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach

Deep convolutional neural networks based image fusion method using pyramid decomposition for medical applications

Contact Info

Product

Resources

About