In the fields of pattern recognition and image processing, deep learning (DL) technology has
been intensively studied. According to the characteristics of multi-modal medical images …

Convolutional neural networks (CNN) are the best deep learning architecture to perform
tumors classification for different imaging modalities: Us, X-ray, CT, and MRI. The scarcity of …

Nowadays, there are massive demands on the broadband multimedia services. Data
security in today's world is an essential issue in different aspects of life such as marketing …

Overcoming challenges in the current cancelable palmprint template is essential for
enhancing privacy and security in biometric systems, as these templates exhibit …

This paper presents an algorithm for image super-resolution based on CNN. The objective is
to work on medical images including images with tumors for better diagnosis. The CNN is …

Several cancelable biometric procedures have been developed to preserve personal data
security. This research presents a cancelable biometric authentication mechanism to ensure …

Abstract Three-dimensional video (3DV) communication through wireless channels suffers
from bit stream losses. Therefore, the efficient performance of 3DV transmission techniques …

High-resolution (HR) images are often required for most applications, as they incorporate
complementary information. However, the optimal utilization of sensor and visual …

Super-Resolution (SR) reconstruction of images has an extreme importance for vision
applications. Numerous algorithms have been introduced for this purpose in recent years …

This paper presents two efficient approaches for object detection from Infrared (IR) images.
The first approach is based on enhancement using histogram equalization (HE) in addition …