The development of information technology has led to a significant increase in the share of
multimedia traffic in data networks. This has necessitated to solve the following information …

Due to the rapid growth of machine learning tools and specifically deep networks in various
computer vision and image processing areas, applications of Convolutional Neural …

The image segmentation refers to the extraction of region of interest and it plays a vital role
in medical image processing. This work proposes multilevel thresholding based on …

Blind watermarking provides powerful evidence for copyright protection, image
authentication, and tampering identification. However, it remains a challenge to design a …

Biomedical signals serves as a backbone of telemedicine industry and its analysis help the
remote diagnosis possible. Security of biomedical data is one of the critical issues during its …

In this paper, a robust semi-blind watermarking scheme for color images, based on multiple
decompositions is proposed to preserve the copyrights of the owner. Using multiple …

Medical images are watermarked with patient details to impose patient identification in tele-
medicine applications. Fundus images comprise of fine features like blood vessels, macula …

Many effective methods of the data embedding into digital images are based on the
frequency transformations. However use of similar transformations is connected to the …

The wireless transmission of patients' particulars and medical data to a specialised centre
after an initial screening at a remote health facility may cause potential threats to patients' …

Security is unarguably the most important aspect when it comes to transmission and
handling of medical data. Technological development has done wonders in the analysis of …