Situational awareness based on the data collected by the vehicle perception sensors (ie
LiDAR, RADAR, camera and ultrasonic sensors) is key for achieving assisted and …

Advanced microscopic techniques such as high-throughput, high-content, multispectral, and
3D imaging could include many images per experiment requiring hundreds of gigabytes …

Video/image compression codecs utilize the characteristics of the human visual system and
its varying sensitivity to certain frequencies, brightness, contrast, and colors to achieve high …

Medical image compression is vital for preserving image quality and optimizing storage and
transmission in healthcare facilities. FPGA design faces challenges in balancing …

 Assisted and automated driving (AAD) systems heavily rely on data collected from
perception sensors, such as cameras. While prior research has explored the quality of …

Viewport-based 360-degree video delivery is a typical method to reduce video traffic for
virtual reality (VR) applications. However, viewport-based solutions cause some key issues …

Purpose The purpose of region-based medical image compression is to optimize the
compression process by focusing on specific regions of interest within medical images …

Codecs using spectral-spatial transforms efficiently compress raw camera images captured
with a color filter array (CFA-sampled raw images) by changing their RGB color space into a …

JPEG-XS offers low complexity image compression for applications with constrained but
reasonable bit-rate, and low latency. Our paper explores the deployment of JPEG-XS on …

Abstract JPEG (Joint Photographic Experts Group) XS is a new international standard
targeting mezzanine compression with features of low complexity and low latency. It is …