In this paper, a novel watermarking scheme is proposed by embedding a binary watermark
into gray-scale images using a hybrid GA-BPN intelligent network. HVS characteristics of the …

This paper presents an image watermarking technique which exploits the human visual
system (HVS), two artificial intelligence techniques [fuzzy inference system (FIS) and back …

In this paper, a novel digital image watermarking algorithm based on a fast neural network
known as Extreme Learning Machine (ELM) for two grayscale images is proposed. The ELM …

In the present paper, an advanced encryption technique commonly known as Elliptic Curve
Cryptography (ECC) is used to embed a binary image as a watermark in five grayscale host …

In this paper, Human Visual System (HVS) characteristics are modeled using a Fuzzy
Inference System (FIS) for robust image watermarking. The fuzzy input variables …

In this paper, we study the quality assessment of watermarked and attacked images using
extensive experiments and related analysis. The process of watermarking usually leads to …

In this paper, a robust blind color image watermarking technique using Online Sequential
Extreme Learning Machine (OS-ELM) is proposed. Blue channel is utilized and transformed …

In this paper, an Extreme Learning Machine (ELM) for semi-blind grayscale in DWT domain
is proposed. Low frequency LL4 sub-band is used for watermark embedding. ELM is …

Ownership of digital content has become a serious matter, due to the exponential raise in
the global repository of digital multimedia content, like images are to be considered in this …

This paper proposes a new optimized watermarking method by incorporating the concept of
entropy, pixel position shuffling, and neural networks to enhance the imperceptibility …