Results 51 to 60 of about 15,641 (253)

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu   +10 more
wiley   +1 more source

Low-Cost Super-Resolution Algorithms Implementation Over a HW/SW Video Compression Platform

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
Two approaches are presented in this paper to improve the quality of digital images over the sensor resolution using super-resolution techniques: iterative super-resolution (ISR) and noniterative super-resolution (NISR) algorithms.
Llopis Rafael Peset   +6 more
doaj   +1 more source

Video Super Resolution Using a Selective Edge Aggregation Network

open access: yesApplied Sciences, 2022
An edge map is a feature map representing the contours of the object in the image. There was a Single Image Super Resolution (SISR) method using the edge map, which achieved a notable SSIM performance improvement. Unlike SISR, Video Super Resolution (VSR)
Samuel Kang   +2 more
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa   +8 more
wiley   +1 more source

An improved regularization method for video super-resolution using an effective prior

open access: yesEURASIP Journal on Image and Video Processing
Video super-resolution, which involves improving the spatial resolution of low-resolution video sequences, plays a pivotal role in computer vision.
Matina Ch. Zerva   +2 more
doaj   +1 more source

Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales

open access: yesAdvanced Engineering Materials, EarlyView.
Overview of miniaturized in situ SEM fatigue setup and resultant fatigue crack growth data for nanocrystalline Ni. The presented study focuses on the analysis of fatigue crack growth rate (FCGR) in focused ion beam‐notched microcantilevers prepared from nanocrystalline (NC) Ni as a model material.
Igor Moravcik   +7 more
wiley   +1 more source

Application of Distributed Parallel Computing in Super-Resolution Image Enbancement

open access: yesDianxin kexue, 2015
The distributed parallel computing in the super-resolution image enhancement applications was introduced.Super resolution image enhancement refers to improving the image resolution of 1080P video to 4K by software without upgrading existing acquisition ...
Jie Zheng, Sheng Bao, Ying Yang
doaj   +2 more sources

Geometric Reliability of AI-Enhanced Super-Resolution in Video-Based 3D Spatial Modeling

open access: yesISPRS International Journal of Geo-Information
Video-based photogrammetric reconstruction is increasingly used when high-resolution still images are unavailable. However, limited spatial resolution, compression artifacts, and motion blur often reduce geometric accuracy.
Marwa Mohammed Bori   +3 more
doaj   +1 more source

Video Super-Resolution via Residual Learning

open access: yesIEEE Access, 2018
Convolutional neural networks have been widely applied in many low level vision tasks. In this paper, we propose a video super-resolution (SR) method named enhanced video SR network with residual blocks (EVSR).
Wenjun Wang   +4 more
doaj   +1 more source

Deep Networks for Image and Video Super-Resolution

open access: yesCoRR, 2022
Efficiency of gradient propagation in intermediate layers of convolutional neural networks is of key importance for super-resolution task. To this end, we propose a deep architecture for single image super-resolution (SISR), which is built using efficient convolutional units we refer to as mixed-dense connection blocks (MDCB).
Kuldeep Purohit   +2 more
openaire   +2 more sources

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