In this digital day and age, we are becoming increasingly dependent on multimedia content,
especially digital images and videos, to provide a reliable proof of occurrence of events …

Recently, machine/deep learning has become a promising solution for some intelligent
tasks. It can be actively used for watermarking but less so for conventional tasks such as …

This paper presents an optimized watermarking scheme based on the discrete wavelet
transform (DWT) and singular value decomposition (SVD). The singular values of a binary …

As powerful image editing tools are widely used, the demand for identifying the authenticity
of an image is much increased. Copy-move forgery is one of the tampering techniques …

Digital watermarking is a method to provide authenticity and copyright ownership to digital
content by embedding any presume content like audio, text, data or video into the original …

With the advent of technology and multimedia production, the world has witnessed a
tremendous increase in digital media attacks, which duplicates, forges and tamper the data …

Digital watermarking has become the core of digital security paradigm for ownership rights
and copyright protection. The advance research in digital watermarking domain is focused …

Watermarking is an operation of embedding information into an image in a way that allows
to identify ownership of the image despite applying some distortions on it. In this paper, we …

Extreme learning machine (ELM) techniques have received considerable attention in the
computational intelligence and machine learning communities because of the significantly …

Abstract Bi-directional Extreme Learning Machine (B-ELM) is a newly developed single
layer feed-forward network capable of fast training with few hidden neurons. It is also …