In the field of image processing and computer vision (CV), machine learning (ML)
architectures are widely used. Image compression problems can be solved using …

Nanosatellites are proliferating as low-cost dedicated sensing systems with lean
development cycles. Kyushu Institute of Technology (Kyutech) and collaborators have …

Deep learning-based image compression algorithms have witnessed remarkable
advancements. However, compressing high-resolution images often suffers from color bias …

Recently, interest about images and photos in omni-directional format (360°, field-of-view)
are gradually increasing. To ensure high image quality at the transfer, storing and sharing of …

With the increasing development of digital image communication technology, the
requirements for image quality, such as texture details, color levels, and dynamic range, are …

Aims and Objective: The objective of this study was to evaluate the compression of renal
dynamic (RD) study images using singular value decomposition (SVD) technique. Materials …

The site conditions that make astronomical observatories in space and on the ground so
desirable—cold and dark—demand a physical remoteness that leads to limited data …

Abstract (DE) Die Relevanz der Bilkompressionsalgorithmen im Kontext der Milliarden
täglich kreierter und veröffentlichter Bilder ist gegenwärtig größer denn je. Im Laufe der …

La compressione di immagini lossless è fondamentale per l'archiviazione e la trasmissione
di immagini quando la perdita di informazioni non è permessa. Nel corso degli anni sono …