Results 41 to 50 of about 11,899,310 (240)
Quasi Lossless Satellite Image Compression
We describe an end-to-end trainable neural network for satellite image compression. The proposed approach builds upon an image compression scheme based on variational autoencoders with a learned hyper-prior that captures dependencies in the latent space for entropy coding.
Pascal Bacchus +3 more
openaire +3 more sources
Linearly polarized incident light with normal incidence creates enhanced optical chirality hotspots on the metasurface. Several orders of magnitude optical chirality enhancement offers a promising route toward highly sensitive, compact chiral spectroscopy.
Anastasia Romashkina +10 more
wiley +1 more source
A lossless compression method for multi-component medical images based on big data mining
In disease diagnosis, medical image plays an important part. Its lossless compression is pretty critical, which directly determines the requirement of local storage space and communication bandwidth of remote medical systems, so as to help the diagnosis ...
Gangtao Xin, Pingyi Fan
doaj +1 more source
Advances in computed tomography (CT) have resulted in a substantial increase in the size of datasets. We built a new concept of medical image compression that provides the best compromise between compression rate and image quality. The method is based on
Guillaume Fahrni +4 more
doaj +1 more source
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He +4 more
wiley +1 more source
Improved Low Complexity Predictor for Block-Based Lossless Image Compression
Lossless image compression has been studied and widely applied, particularly in medicine, space exploration, aerial photography, and satellite communication.
Huang-Chun Hsu +2 more
doaj +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Transparent Topological Meta‐Diplexer via Tightly Confined Valley Surface States
An optically transparent topological metasurface supporting tightly confined valley surface states enables robust and flexible wave routing in an ultrathin platform. A compact transparent meta‐diplexer with spatially and spectrally separated channels is realized, while communication experiments verify high‐fidelity signal transmission, opening new ...
Sijie Li +5 more
wiley +1 more source
Near-lossless image compression techniques [PDF]
Predictive and multiresolution techniques for near- lossless image compression based on the criterion of maximum allowable deviation of pixel values are investigated.
Ceran, E., Ansari, R., Memon, N.
core +1 more source
Adjusting DICOM specifications when using wireless LANs: The MedLAN example [PDF]
Wireless networks will become increasingly useful in point-of-care areas such as hospitals, because of their ease of use and their flexibility. A system called MedLAN has been developed by the Central Middlesex Hospital and Brunei University to take ...
Tachakra, S, Song, YH, Banitsas, KA
core +4 more sources

