The success rate for blind or universal steganalysis lies in the ability to extract the statistical
footprints of image features. Further, the choice of machine learning (ML) algorithm is crucial …

In order to aim for diagnosis of disease and decision making, the medical imaging plays an
important role in health science. Clinical pictures are portrayals of profoundly vulnerable …

The proportion of multimedia traffic in data networks has grown substantially as a result of
advancements in IT. As a result, it's become necessary to address the following challenges …

The paper addresses the issue of ensuring the authenticity and copyright of medical images
in telemedicine applications, with a specific emphasis on watermarking methods. While …

To solve the problem of robustness of encrypted medical image watermarking algorithms, a
zero watermarking algorithm based on the discrete cosine transform (DCT) and an improved …

This overview paper explains several kinds of Reversible Data Hiding (RDH) methods.
Reversible data hiding involves concealing data within host media, such as audio, video …

DNA molecules as storage media are characterized by high encoding density and low
energy consumption, making DNA storage a highly promising storage method. However …

High-dynamic-range (HDR) images are widely regarded as the ideal format for digital
images due to their ability to accurately render a wider range of luminance values. Recently …

Medical image security is a critical concern in the healthcare domain, and various
watermarking techniques have been explored to embed imperceptible and secure data …

Image steganography is one of the prominent technologies in data hiding standards.
Steganographic system performance mostly depends on the embedding strategy. Its goal is …