A
Anand Mohan
Researcher at Indian Institute of Technology (BHU) Varanasi
Publications - 141
Citations - 2308
Anand Mohan is an academic researcher from Indian Institute of Technology (BHU) Varanasi. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 22, co-authored 123 publications receiving 1806 citations. Previous affiliations of Anand Mohan include National Institute of Technology, Kurukshetra & Jaypee University of Information Technology.
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.
Journal ArticleDOI
Multiple watermarking technique for securing online social network contents using Back Propagation Neural Network
TL;DR: The proposed robust and secure DWT, DCT and SVD based multiple watermarking techniques for protecting digital contents over unsecure social networks may find potential solutions in prevention of personal identity theft and unauthorized multimedia content sharing on online social networks/open channel.
Journal ArticleDOI
Deep Learning Framework for Recognition of Cattle Using Muzzle Point Image Pattern
Santosh Kumar,Amit Kumar Pandey,K. Sai Ram Satwik,Sunil Kumar,Sanjay Singh,Amit Singh,Anand Mohan +6 more
TL;DR: The deep learning-based recognition system is proposed for identification of different cattle based on their primary muzzle point (nose pattern) image pattern characteristics to solve major problem of missed or swapped animal and false insurance claims.
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.