We demonstrate a new digital cleaning technique which uses a neural network that is trained to learn the transformation from dirty to clean segments of a painting image. The inputs and outputs of the network are pixels belonging to dirty and clean segments found in Fernando Amorsolo's Malacañang by the River. After digital cleaning we visualize the painting's discoloration by assuming it to be a transmission filter superimposed on the clean painting. Using an RGB color-to-spectrum transformation to obtain the point-per-point spectra of the clean and dirty painting images, we calculate this "dirt" filter and render it for the whole image.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/OE.19.021011 | DOI Listing |
Sensors (Basel)
January 2025
Smart Diagnostic and Online Monitoring, Leipzig University of Applied Sciences, Wächterstraße 13, 04107 Leipzig, Germany.
This paper presents a comparative study of different AI models for indoor positioning systems, emphasizing improvements in localization accuracy and processing time. This study examines Artificial Neural Networks (ANNs), Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNNs), and the Kalman filter using a real Received Signal Strength Indicator (RSSI) and 9-axis ICM-20948 sensor. An in-depth analysis is provided in this paper for data cleaning and feature selection to reduce errors for all the models.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Hainan Institute, Zhejiang University, Sanya 572024, China.
In recent decades, Offshore Wind Turbines (OWTs) have become crucial to the clean energy transition, yet they face significant safety challenges due to harsh marine conditions. Key issues include blade damage, material corrosion, and structural degradation, necessitating advanced materials and real-time monitoring systems for enhanced reliability. Carbon fiber has emerged as a preferred material for turbine blades due to its strength-to-weight ratio, although its high cost remains a barrier.
View Article and Find Full Text PDFBMC Public Health
January 2025
Dasman Diabetes Institute, Kuwait City, Kuwait.
Background: Anxiety disorders are the second most common mental health disorders in terms of disability-adjusted life years and years of life lost across all age groups. A bidirectional relationship between anxiety disorders and diabetes mellitus has been documented. This study aimed to determine the prevalence of anxiety and its associated factors among patients with diabetes receiving care at public primary care clinics in Kuwait during the first quarter of 2024.
View Article and Find Full Text PDFJ Oral Biol Craniofac Res
December 2024
Department of Oral Biology and Oral Pathology, Saveetha Dental College and Hopsitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India.
Introduction: Enamel translucency, essential for the aesthetic appeal of teeth, is primarily determined by its thickness, quality, and refractive index. Several factors, including age, genetics, diet, oral hygiene practices, fluoride exposure, and acidic challenges, can influence enamel translucency. Tobacco use, in particular, leads to significant alterations in enamel appearance by penetrating its micropores, causing yellowing and browning.
View Article and Find Full Text PDFOral Health Prev Dent
January 2025
Purpose: To trace the history of interdental brushes (IDBs) from their origins to the present, highlighting their development and future prospects compared to other interdental hygiene aids.
Methods And Materials: A literature search using digital databases, manual reviews and on-site research in museums were carried out.
Results: Although extensive literature exists on toothbrushes, flosses and toothpicks, there has been no comprehensive study of IDBs.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!