2D hyperchaotic system based on Schaffer function for image encryption
Chaotic systems are the most essential tools for wide range of applications such as
communication, watermarking, data compression and multimedia encryption. However, the …
communication, watermarking, data compression and multimedia encryption. However, the …
Scene semantic recognition based on modified fuzzy C-mean and maximum entropy using object-to-object relations
With advances in machine vision systems (eg, artificial eye, unmanned aerial vehicles,
surveillance monitoring) scene semantic recognition (SSR) technology has attracted much …
surveillance monitoring) scene semantic recognition (SSR) technology has attracted much …
[HTML][HTML] Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
Adaptive frequency median filter for the salt and pepper denoising problem
In this article, the authors propose an adaptive frequency median filter (AFMF) to remove the
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …
[PDF][PDF] The Diversity of artificial intelligence applications in marine pollution: A Systematic literature review
J Ning, S Pang, Z Arifin, Y Zhang… - Journal of Marine …, 2024 - researchgate.net
Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more
prevalent around the world. Multidimensional and sustainable ocean governance have …
prevalent around the world. Multidimensional and sustainable ocean governance have …
Review on medical image denoising techniques
S Kaur, J Singla, A Singh - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
In recent times, with rapid growth in technology, medical imaging has become popular in
healthcare. The impression of these improvements in the medical field has become evident …
healthcare. The impression of these improvements in the medical field has become evident …
A comparative analysis of image denoising problem: noise models, denoising filters and applications
Noise reduction is a perplexing undertaking for the researchers in digital image processing
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
An adaptive method for image restoration based on high-order total variation and inverse gradient
The total variation (TV) regularization model for image restoration is widely utilized due to its
edge preservation properties. Despite its advantages, the TV regularization can obtain …
edge preservation properties. Despite its advantages, the TV regularization can obtain …
Experimental evaluation of filters used for removing speckle noise and enhancing ultrasound image quality
In the modern-days diagnostics, ultrasound is considered a significant non-invasive imaging
technique. However, ultrasound images are frequently contaminated by multiplicative …
technique. However, ultrasound images are frequently contaminated by multiplicative …
[HTML][HTML] Optimized deep CNN for detection and classification of diabetic retinopathy and diabetic macular edema
V Thanikachalam, K Kabilan, SK Erramchetty - BMC Medical Imaging, 2024 - Springer
Abstract Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are vision related
complications prominently found in diabetic patients. The early identification of DR/DME …
complications prominently found in diabetic patients. The early identification of DR/DME …