Results 51 to 60 of about 615,528 (247)
Bistable Networks Enable Complex Shape Changes
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source
The novel rotating synthetic aperture (RSA) is a new optical imaging system that uses the method of rotating the rectangular primary mirror for dynamic imaging.
Yu Sun +5 more
doaj +1 more source
Convergence Analysis of MAP based Blur Kernel Estimation
One popular approach for blind deconvolution is to formulate a maximum a posteriori (MAP) problem with sparsity priors on the gradients of the latent image, and then alternatingly estimate the blur kernel and the latent image.
Seungyong Lee +3 more
core +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo +10 more
wiley +1 more source
Deep Self-Learning Network for Adaptive Pansharpening
Deep learning (DL)-based paradigms have recently made many advances in image pansharpening. However, most of the existing methods directly downscale the multispectral (MSI) and panchromatic (PAN) images with default blur kernel to construct the training ...
Jie Hu, Zhi He, Jiemin Wu
doaj +1 more source
The visual data acquisition from small unmanned aerial vehicles (UAVs) may encounter a situation in which blur appears on the images. Image blurring caused by camera motion during exposure significantly impacts the images interpretation quality and ...
Pawel Burdziakowski
doaj +1 more source
A Self-adaptive Learning Method for Motion Blur Kernel Estimation of the Single Image
Art. 168023, 11 S.The estimation of blur kernel is the first and principal steps in the deconvolution of single blurred image. The quality of image restoration highly depends on its estimation accuracy.
Hao, Xingxing +5 more
core +1 more source
A universal hydrogel microparticle template with five DNA‐addressable domains decouples particle fabrication from barcode writing. Contact‐free multilaminar flow lithography produces >106 templates/h, and post‐fabrication domain‐selective hybridization converts one batch into large, user‐defined optical barcode libraries with robust decoding and re ...
Akihiro Eguchi +5 more
wiley +1 more source
Multiscale stripe noise and blur degradation in wide-field infrared remote sensing images are strongly coupled, posing significant challenges for image restoration.
Ting Nie +5 more
doaj +1 more source

