Neuromorphic extreme learning machines with bimodal memristive synapses

Z Dong, CS Lai, Z Zhang, D Qi, M Gao, S Duan - Neurocomputing, 2021 - Elsevier
The biology-inspired intelligent computing system for the neuromorphic hardware
implementation is useful in high-speed parallel information processing. However, the …

Hybrid dual‐complementary metal–oxide–semiconductor/memristor synapse‐based neural network with its applications in image super‐resolution

Z Dong, C Sing Lai, Y He, D Qi… - IET Circuits, Devices & …, 2019 - Wiley Online Library
Biology‐inspired neural computing is a potential candidate for the implementation of next‐
generation intelligent systems. Memristor is a passive electrical element with resistance …

Adaptive and non-adaptive image interpolation techniques

SH Mahajan, VK Harpale - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Image interpolation is the process of calculating the unknown pixel values from known pixel
values. This procedure can be used for enlarging as well as contrasting digital image. Image …

[PDF][PDF] Content adaptive single image interpolation based Super Resolution of compressed images

A Singh, J Singh - International Journal of Electrical and Computer …, 2020 - core.ac.uk
Image Super resolution is used to upscale the low resolution Images. It is also known as
image upscaling. This paper focuses on upscaling of compressed images with interpolation …

[PDF][PDF] Development of a novel method of adaptive image interpolation for image resizing using artificial intelligence.

M Arabboev, S Begmatov, K Nosirov, JC Chedjou… - IVUS, 2022 - researchgate.net
In this paper, we develop an artificial neural network (ANN)-based adaptive image
interpolation method for image resizing. A local image dataset is also created, consisting of …

Review and comparative analysis of various image interpolation techniques

A Singh, J Singh - 2019 2nd International Conference on …, 2019 - ieeexplore.ieee.org
In this paper, review and analysis of major image interpolation techniques have been
presented. Image interpolation is very useful for fast super resolution (SR) of images. In …

A content adaptive method of de-blocking and super-resolution of compressed images

A Singh, J Singh - Multimedia Tools and Applications, 2021 - Springer
In this paper, a new method of image upscaling along with de-blocking of compressed
images has been presented. In the case of highly compressed images, there is a high …

An efficient edge preserving image interpolation algorithm

AK Jha, A Kumar, G Schaefer… - … , Electronics & Vision …, 2014 - ieeexplore.ieee.org
Quality degradation and computational complexity are the major challenges for image
interpolation algorithms. Advanced interpolation techniques achieve to preserve fine image …

VLSI architectures for image interpolation: a survey

CJ Moses, D Selvathi, VMA Sophia - VLSI Design, 2014 - Wiley Online Library
Image interpolation is a method of estimating the values at unknown points using the known
data points. This procedure is used in expanding and contrasting digital images. In this …

The evolution of data races

C Sadowski, J Yi, S Kim - 2012 9th IEEE Working Conference …, 2012 - ieeexplore.ieee.org
Concurrency bugs are notoriously difficult to find and fix. Several prior empirical studies
have identified the prevalence and challenges of concurrency bugs in open source projects …