Results 31 to 40 of about 1,258 (196)
In this paper, a novel near-lossless color filter array (CFA) image compression algorithm based on JPEG-LS is proposed for VLSI implementation. It consists of a pixel restoration, a prediction, a run mode, and entropy coding modules.
Shih-Lun Chen +3 more
doaj +1 more source
Two‐Dimensional Isotropic Spatial Differentiation Through Complete Polarization Control
This work enables two‐dimensional isotropic spatial differentiation at planar interfaces over a wide range of incident angles by extending the output polarization from linear to elliptical. The choice of incident angle can be used to balance broader spectral response at low angles and higher edge‐detection efficiency at larger angles.
Doyoon Lee, Minkyung Kim
wiley +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
A Novel Rate-Control for Predictive Image Coding With Constant Quality
Predictive image coding systems yield a high-compression performance at low computational complexity, and are therefore popular in standards and prominent coding techniques for both lossless and near-lossless compression.
Joan Bartrina-Rapesta +3 more
doaj +1 more source
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source
Spectral Distortion in Lossy Compression of Hyperspectral Data
Distortion allocation varying with wavelength in lossy compression of hyperspectral imagery is investigated, with the aim of minimizing the spectral distortion between original and decompressed data.
Bruno Aiazzi +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
Compression of Multichannel Signals With Irregular Sampling Rates and Data Gaps
In this work, we study the compression of multichannel signals with irregular sampling rates and data gaps. We consider state-of-the-art algorithms, which were originally designed to compress gapless signals with regular sampling, adapt them to operate ...
Pablo Cervenansky +2 more
doaj +1 more source
Lossless Compression in Bayer Color Filter Array for Capsule Endoscopy
This paper presents a compression algorithm for color filter array (CFA) images in a wireless capsule endoscopy system. The proposed algorithm consists of a new color space transformation (known as YLMN), a raster-order prediction model, and a single ...
Shahed K. Mohammed +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

