The common image related artifacts during image acquisition are noise caused due to
external interference and imbalance in illumination. Uneven illumination correction …

Chest X-rays are a vital diagnostic tool in the workup of many patients. Similar to most
medical imaging modalities, they are profoundly multi-modal and are capable of visualising …

At present, there is an increase in the capacity of data generated and stored in the medical
area. Thus, for the efficient handling of these extensive data, the compression methods need …

Until today, researchers have introduced a range of methodologies to decrease the noise
effect on medical images. In the proposed approach, an adapted deep convolutional neural …

Robotics is one of the most advanced and emerging technologies in the field of medicine.
Electronic sensors incorporated with combination of control into mechanical systems greatly …

The quality of the Magnetic Resonance Imaging (MRI) image influences the disease
diagnosis and consequent treatment. However, noise distortion severely impacts these …

In fingerprint recognition systems, feature extraction is an important part because of its
impact on the final performance of the overall system, particularly, in the case of low-quality …

The hypertension (HTN) and coronary artery disease (CAD) are the major cardiovascular
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …

In the last years, a lot of literature has provided considerable support for multilabel
classification in machine learning. It means that each sample or instance belongs to more …

The Book presents an overview of newly developed watermarking techniques in various
independent and hybrid domains Covers the basics of digital watermarking, its types …