Review of quaternion-based color image processing methods
Images are a convenient way for humans to obtain information and knowledge, but they are
often destroyed throughout the collection or distribution process. Therefore, image …
often destroyed throughout the collection or distribution process. Therefore, image …
[HTML][HTML] A comprehensive review on the advancement of high-dimensional neural networks in quaternionic domain with relevant applications
The neurocomputing communities have focused much interest on quaternionic-valued
neural networks (QVNNs) due to the natural extension in quaternionic signals, learning of …
neural networks (QVNNs) due to the natural extension in quaternionic signals, learning of …
QCNN-H: Single-image dehazing using quaternion neural networks
Single-image haze removal is challenging due to its ill-posed nature. The breadth of real-
world scenarios makes it difficult to find an optimal dehazing approach that works well for …
world scenarios makes it difficult to find an optimal dehazing approach that works well for …
Quaternion generative adversarial networks
E Grassucci, E Cicero, D Comminiello - Generative Adversarial Learning …, 2022 - Springer
Abstract Latest Generative Adversarial Networks (GANs) are gathering outstanding results
through a large-scale training, thus employing models composed of millions of parameters …
through a large-scale training, thus employing models composed of millions of parameters …
Hypercomplex image-to-image translation
Image-to-image translation (I2I) aims at transferring the content representation from an input
domain to an output one, bouncing along different target domains. Recent I2I generative …
domain to an output one, bouncing along different target domains. Recent I2I generative …
Hypercomplex generative adversarial networks for lightweight semantic labeling
Following recent advances on parameterized hypercomplex multiplication, we explore the
usefulness of hypercomplex convolutions and deconvolutions in a document labeling task …
usefulness of hypercomplex convolutions and deconvolutions in a document labeling task …
Review and evaluation of recent advancements in image dehazing techniques for vision improvement and visualization
S Shit, DN Ray - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
Vision gets obscured in adverse weather conditions, such as heavy downpours, dense fog,
haze, snowfall, etc., which increase the number of road accidents yearly. Modern …
haze, snowfall, etc., which increase the number of road accidents yearly. Modern …
Keyword spotting with quaternionic ResNet: application to spotting in Greek manuscripts
Quaternionized versions of standard (real-valued) neural network layers have shown to lead
to networks that are sparse and as effective as their real-valued counterparts. In this work …
to networks that are sparse and as effective as their real-valued counterparts. In this work …
Quaternion Convolutional Neural Networks: Current Advances and Future Directions
G Altamirano-Gomez, C Gershenson - arXiv preprint arXiv:2307.08663, 2023 - arxiv.org
Since their first applications, Convolutional Neural Networks (CNNs) have solved problems
that have advanced the state-of-the-art in several domains. CNNs represent information …
that have advanced the state-of-the-art in several domains. CNNs represent information …
Compressing audio visual speech recognition models with parameterized hypercomplex layers
Audio visual speech recognition has seen remarkable progress in the last few years. This
progress is a result, on the one hand, of advances in deep learning-based architectures …
progress is a result, on the one hand, of advances in deep learning-based architectures …