Results 71 to 80 of about 3,028,783 (361)
Nanocarriers used as probes for super-resolution microscopy [PDF]
Super-resolution microscopy (SRM) has revolutionized the study of cell biology, enabling researchers to visualize cellular structures with nanometric resolution, single-molecule sensitivity, and with multiple colors using conventional fluorophores.
Pramanik, S. K. +6 more
core +1 more source
Space-time super-resolution [PDF]
We propose a method for constructing a video sequence of high space-time resolution by combining information from multiple low-resolution video sequences of the same dynamic scene. Super-resolution is performed simultaneously in time and in space. By "temporal super-resolution," we mean recovering rapid dynamic events that occur faster than regular ...
Eli Shechtman, Yaron Caspi, Michal Irani
openaire +2 more sources
Quantization for Spectral Super-Resolution
We show that the method of distributed noise-shaping beta-quantization offers superior performance for the problem of spectral super-resolution with quantization whenever there is redundancy in the number of measurements. More precisely, we define the oversampling ratio $λ$ as the largest integer such that $\lfloor M/λ\rfloor - 1\geq 4/Δ$, where $M ...
C. Sinan Güntürk, Weilin Li
openaire +3 more sources
Establishing Three-Dimensional Super-Resolution Microscopy Methods For Quantifying Intracellular Nanoparticle Distribution [PDF]
The systemic administration of nanomedicine formulations has been described as a promising treatment option for solid tumors at both preclinical and clinical stages.
Sheth, Vinit
core
Deeply-Recursive Convolutional Network for Image Super-Resolution [PDF]
We propose an image super-resolution method (SR) using a deeply-recursive convolutional network (DRCN). Our network has a very deep recursive layer (up to 16 recursions).
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
semanticscholar +1 more source
SUPER-RESOLUTION OF MULTISPECTRAL IMAGES [PDF]
In this paper we propose and analyze a globally and locally adaptive super-resolution Bayesian methodology for pansharpening of multispectral images. The methodology incorporates prior knowledge on the expected characteristics of the multispectral images uses the sensor characteristics to model the observation process of both panchromatic and ...
Miguel Vega +3 more
openaire +1 more source
Image Super-Resolution with Adversarial Learning [PDF]
Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
core
Super-resolution image display using diffractive decoders
High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators.
Anika Tabassum (12981243) +7 more
core +1 more source
Structured illumination lensless digital holographic microscopy (SI-LDHM)
In this work, we propose a structured-illumination lensless digital holographic microscopy (SI-LDHM). SI-LDHM illuminates a sample with 24 structured illuminations (8 orientations × 3 phase shifts) and records the defocused interferogram formed by two ...
Juanjuan Zheng +23 more
doaj +1 more source
Medical video is important for medical diagnosis. However, due to the influence of the network bandwidth and hardware equipment, some medical videos have low resolution, which is not conducive for diagnosing early diseases with small lesions.
Sheng Ren +3 more
doaj +1 more source

