Results 61 to 70 of about 11,065 (211)
Weighted Direct Nonlinear Regression for Effective Image Interpolation
This paper proposes a learning-based image interpolation method based on weighted direct nonlinear regression. It attempts to learn the nonlinear relationship between the low-resolution patches and their corresponding high-resolution patches by using an ...
Jieying Zheng +3 more
doaj +1 more source
Two-Stream Action Recognition-Oriented Video Super-Resolution
We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition methods based on convolutional networks, exemplified by two-stream networks ...
Liu, Dong, Xiong, Zhiwei, Zhang, Haochen
core +1 more source
pygid: a Python package for fast data reduction in grazing‐incidence diffraction
A new Python package, pygid, enables fast batch processing of X‐ray scattering data, with a particular focus on grazing‐incidence geometries.Advances in X‐ray and neutron sources, as well as in area‐detector technologies, enable the recording of several terabytes of raw two‐dimensional detector data in a single experiment.
Ainur Abukaev +8 more
wiley +1 more source
The acquisition of high-resolution (HR) digital bathymetric models (DBMs) is crucial for oceanic research activities. However, obtaining HR DBM data is challenging, which has led to the use of super-resolution (SR) methods to improve the DBM’s resolution,
Wuxu Cai +5 more
doaj +1 more source
Bicubic spline interpolation in L-shaped domains
AbstractBirkhoff and de Boor first posed the question of the existence of a convergent bicubic spline interpolation scheme for non-rectangular domains. In this paper that query is answered affirmatively for L-shaped domains. Specifically, it is shown that ∥sf − f∥= O(hr) where sf is the bicubic spline interpolant associated with a smooth function f, h ...
Carlson, R.E, Hall, C.A
openaire +2 more sources
A Novel Multimodal Deep Image Analysis Model for Predicting Extraction/Non‐Extraction Decision
ABSTRACT Objective This study aimed to develop a deep learning model classifier capable of predicting the extraction/non‐extraction binary decision using lateral cephalometric radiographs (LCRs) and intraoral scans (IOS) to serve as an additional decision‐support tool for orthodontists.
Sunna Imtiaz Ahmad +13 more
wiley +1 more source
Research on Deep Learning Energy Consumption Prediction Based on Generating Confrontation Network
In the context of increasingly tight energy supply and rising prices, it is of great significance to carry out research on energy consumption prediction models with energy conservation as the goal.
Shilong Fan
doaj +1 more source
Detail-revealing Deep Video Super-resolution
Previous CNN-based video super-resolution approaches need to align multiple frames to the reference. In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results.
Gao, Hongyun +4 more
core +1 more source
Matching Multiple Backgrounds: Egg Camouflage Across Different Habitats in a Shorebird
We studied egg camouflage in Kentish plovers nesting in two visually distinct habitats, sandy beaches and salt marshes, in southern Spain. Despite initial expectations of local adaptation or compromise camouflage, the birds instead chose nest sites within each habitat that shared overlapping colour and visual texture characteristics, allowing effective
Alexandra Grandón‐Ojeda +4 more
wiley +1 more source
The development of the digital image correlation (DIC) technique has required the use of cameras with increasingly higher resolution, as well as requiring complex sub-pixel tracking algorithms with exponentially increasing computational cost.
Silmara M. Cardoso +5 more
doaj +1 more source

