Medical image encryption: a comprehensive review
In medical information systems, image data can be considered crucial information. As
imaging technology and methods for analyzing medical images advance, there will be a …
imaging technology and methods for analyzing medical images advance, there will be a …
Recent progress in digital image restoration techniques: a review
Digital images are playing a progressively important role in almost all the fields such as
computer science, medicine, communications, transmission, security, surveillance, and …
computer science, medicine, communications, transmission, security, surveillance, and …
A fast text-to-image encryption-decryption algorithm for secure network communication
Data security is the science of protecting data in information technology, including
authentication, data encryption, data decryption, data recovery, and user protection. To …
authentication, data encryption, data decryption, data recovery, and user protection. To …
Lumbar disease classification using an Involutional neural based VGG Nets (INVGG).
Degenerative diseases of the lumbar spine, such as spondylolisthesis, disc degeneration,
and lumbar spinal stenosis, are major contributors to global disability. Accurate classification …
and lumbar spinal stenosis, are major contributors to global disability. Accurate classification …
Vehicle detection and classification from images/videos using deep learning architectures: A survey
The task of recognizing and categorizing vehicles in videos and images as objects poses a
considerable challenge in terms of appearance-based representation. However, it holds …
considerable challenge in terms of appearance-based representation. However, it holds …
Image denoising techniques: An overview
This article provides an in-depth overview of image denoising. Furthermore, the technical
aspects developed for image denoising are highlighted in a wider sense. Image denoising is …
aspects developed for image denoising are highlighted in a wider sense. Image denoising is …
Multi-models Based on Yolov8 for Identification of Vehicle Type and License Plate Recognition
Embedded systems with cameras and deep learning techniques have been shown to be
flexible and good at finding different targets in the areas of intelligent monitoring and urban …
flexible and good at finding different targets in the areas of intelligent monitoring and urban …
[HTML][HTML] Adaptive deep residual network for image denoising across multiple noise levels in medical, nature, and satellite images
This research introduces the Adaptive Deep Residual Network (AdResNet), a deep
convolutional neural network designed for effective image denoising in computer vision …
convolutional neural network designed for effective image denoising in computer vision …
[PDF][PDF] An Extensive Analysis and Fine-Tuning of Gmap**'s Initialization Parameters.
Accurate localization and map** are essential for autonomous navigation systems. The
simultaneous localization and map** (SLAM) algorithm, gmap**, is widely used for …
simultaneous localization and map** (SLAM) algorithm, gmap**, is widely used for …
Comparison and Evaluation of TV-based and Low-rank-based Destri** Algorithms for Hyperspectral Imagery
F Shen, J Chen, Y Cheng, Q Zhu - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Remote sensing image data especially hyperspectral imagery (HSI) data have been widely
applied in various research fields. However, HSI often suffers from significant noise …
applied in various research fields. However, HSI often suffers from significant noise …