Results 61 to 70 of about 200,528 (240)
A problem of single image super-resolution is considered, where the goal is to recover one high-resolution image from one low-resolution image. Whereas this problem has been successfully solved so far by the known VDSR network, such an approach still ...
Romanuke Vadim
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 ...
R.E Carlson, Charles A. Hall
openaire +2 more sources
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham+4 more
wiley +1 more source
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
Laser‐Patterned Diamond Electrodes for Adhesion and Proliferation of Human Mesenchymal Stem Cells
Laser patterning is used to create diamond electrodes on insulating diamond substrates. The process yields conductive surfaces with high capacitance, wide water windows, and low impedance. The electrode‐enhancing human mesenchymal stem cell adhesion and growth are nontoxic and promote cell alignment.
Hassan N. Al Hashem+9 more
wiley +1 more source
An optimal factor analysis approach to improve the wavelet-based image resolution enhancement techniques [PDF]
The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields.
Jenkins, Karl W.+3 more
core
Deep Networks for Image Super-Resolution with Sparse Prior
Deep learning techniques have been successfully applied in many areas of computer vision, including low-level image restoration problems. For image super-resolution, several models based on deep neural networks have been recently proposed and attained ...
Han, Wei+4 more
core +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
ABSTRACT The emergence and development of settlement mounds, also called tells, is of major interest for the analysis of socio‐economic transformations occurring in the lower Danube plain during the East European Chalcolithic period. In this context, the multiphase chronology and structural layout of tells are highly relevant indicators, but small ...
Manuel Zolchow+11 more
wiley +1 more source
Hypernetwork functional image representation
Motivated by the human way of memorizing images we introduce their functional representation, where an image is represented by a neural network. For this purpose, we construct a hypernetwork which takes an image and returns weights to the target network,
C Christopoulos+13 more
core +1 more source