M
Mayank Dave
Researcher at National Institute of Technology, Kurukshetra
Publications - 183
Citations - 2805
Mayank Dave is an academic researcher from National Institute of Technology, Kurukshetra. The author has contributed to research in topics: Wireless sensor network & Digital watermarking. The author has an hindex of 25, co-authored 177 publications receiving 2271 citations. Previous affiliations of Mayank Dave include Shiv Nadar University.
Papers
More filters
Journal ArticleDOI
Hybrid technique for robust and imperceptible multiple watermarking using medical images
TL;DR: This paper presents a secure multiple watermarking method based on discrete wavelet transform (DWT), discrete cosine transforms (DCT) and singular value decomposition (SVD) and the technique is found to be robust against the Checkmark attacks.
Posted Content
A Comparative Study of Various Routing Protocols in VANET
Rakesh Kumar,Mayank Dave +1 more
TL;DR: The paper discusses the advantages / disadvantages and the applications of various routing protocols for vehicular ad hoc networks, and explores the motivation behind the designed, and traces the evolution of these routing protocols.
Journal ArticleDOI
Hybrid Technique for Robust and Imperceptible Image Watermarking in DWT–DCT–SVD Domain
TL;DR: The proposed method for digital watermarking based on discrete wavelet transforms, discrete cosine transforms, and singular value decomposition has been proposed and has been found to be giving superior performance for robustness and imperceptibility compared to existing methods suggested by other authors.
Journal ArticleDOI
Robust and Imperceptible Dual Watermarking for Telemedicine Applications
TL;DR: The experimental results demonstrate that this algorithm provides better robustness without affecting the quality of watermarked image, and combines the advantages and removes the disadvantages of the two transform techniques.
Journal ArticleDOI
Multiple Watermarking on Medical Images Using Selective Discrete Wavelet Transform Coefficients
TL;DR: Performace of the proposed watermarking algorithm is analyzed against numerous known attacks like compression, filtering, noise, sharpening, scaling and histogram equalization and desired outcome is obtained without much degradation in extracted watermarks and watermarked image quality.