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Neuromorphic extreme learning machines with bimodal memristive synapses
The biology-inspired intelligent computing system for the neuromorphic hardware
implementation is useful in high-speed parallel information processing. However, the …
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
Biology‐inspired neural computing is a potential candidate for the implementation of next‐
generation intelligent systems. Memristor is a passive electrical element with resistance …
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 …
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 …
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.
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 …
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 …
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 …
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 …
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 …
data points. This procedure is used in expanding and contrasting digital images. In this …
The evolution of data races
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 …
have identified the prevalence and challenges of concurrency bugs in open source projects …