A great deal of information is produced daily, due to advances in telecommunication, and
the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data …

In this world of big data, the development and exploitation of medical technology is vastly
increasing and especially in big biomedical imaging modalities available across medicine …

Abstract The use of Block Compressed Sensing (BCS) as an alternative to conventional
Compressed Sensing (CS) in image sampling and acquisition has gained attention due to …

Because of the hierarchical significance of traffic sign images, the traditional methods do not
effectively control and extract the brightness and features of layered images. Therefore, an …

Medical imaging is an active and developing field that has an impact on recognition,
diagnosis and surgical planning of the disease. The image compression is introduced in the …

Nowadays, medical imaging systems tend to have greatest impact on disease identification,
diagnosis, and surgical preparation. To save hardware space and transmission bandwidth, it …

Due to advancements in healthcare monitoring systems, the Internet of Things concepts are
proficiently utilized in the medical field to detect and diagnose the physical health problems …

Recently, face image inpainting has become a fascinating research area in the field of deep
learning. However, the existing methods have the disadvantage that the image inpainting …

When detecting micro-distortion of lidar scanning signals, current hardwires and algorithms
have low compatibility, resulting in slow detection speed, high energy consumption, and …

Abstract The Global Positioning System (GPS) is not only widely used in navigation,
measurement and other services, but also an indispensable key equipment for the military …