AI Article Synopsis
- Optimal denoising techniques are most effective when applied to raw images from camera sensors, which have a specific type of noise that varies with pixel intensity.
- This paper introduces a nonparametric method for estimating the noise characteristics directly from one raw image, without the need for extensive calibration.
- The authors validate their method through rigorous cross-validation against advanced parametric techniques and laboratory standards, showing its reliability even when dealing with nonlinear detector responses.
Article Abstract
Optimal denoising works at best on raw images (the image formed at the output of the focal plane, at the CCD or CMOS detector), which display a white signal-dependent noise. The noise model of the raw image is characterized by a function that given the intensity of a pixel in the noisy image returns the corresponding standard deviation; the plot of this function is the noise curve. This paper develops a nonparametric approach estimating the noise curve directly from a single raw image. An extensive cross-validation procedure is described to compare this new method with state-of-the-art parametric methods and with laboratory calibration methods giving a reliable ground truth, even for nonlinear detectors.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/JOSAA.31.000863 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Biomechanical coordination and variability alters following repetitive movement fatigue in overhead athletes with painful shoulder.
Sci Rep
January 2025
Department of Sport Biomechanics, Faculty of Sports Sciences, Bu-Ali Sina University, Hamedan, Iran.
Most sports and leisure activities involve repetitive movements in the upper limb, which are typically linked to pain and discomfort in the neck and shoulder area. Movement variability is generally expressed by changes in movement parameters from one movement to another and is a time-dependent feature of repetitive activities. The purpose of this study was to examine the effect of repeated movement-induced fatigue on biomechanical coordination and variability in athletes with and without chronic shoulder pain (CSP).
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
The project leading to this paper has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115952, Brussels, Belgium.
Background: Published data have highlighted associations between Alzheimer's disease (AD) susceptibility loci and AD-related brain changes. The amyloid imaging to prevent AD (AMYPAD) consortium is a European collaboration consisting of several parent cohorts, four of which had raw genotype array data available. We sought to integrate and harmonise the genetic data, calculate AD polygenic risk scores (PRS), and investigate their association with global amyloid deposition.
View Article and Find Full Text PDFClinical Manifestations.
Alzheimers Dement
December 2024
University of California, San Francisco, San Francisco, CA, USA.
Background: In Alzheimer's disease research, subjective report of cognitive and functional decline from participant-study partner (SP) dyads is an efficient method of assessing cognitive impairment and risk of clinical progression. The extent to which discordance (disagreement) between self- and SP-report is associated with diagnosis of cognitive impairment is not known.
Method: We tested the hypothesis that discordance between baseline self- and SP-report Everyday Cognition Scale (ECog) scores was associated with greater probability of mild cognitive impairment (MCI) diagnosis.
Clinical Manifestations.
Alzheimers Dement
December 2024
Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea, Republic of (South).
Background: Cognitive abilities, notably memory, typically decline with age, but a subset of individuals known as superagers defy this trend by exhibiting memory functions akin to those 20-30 years younger in late life. Recognizing the interconnection between physical performance, health outcomes, and cognitive function in older adults, our aim was to explore whether superagers demonstrate superior physical performance compared to typical agers.
Methods: Forty-nine cognitively unimpaired older adults underwent comprehensive assessments, including cognitive function tests using the Seoul Neuropsychological Screening Battery, Brain MRI, and the Short Physical Performance Battery (SPPB), a prominent tool for evaluating physical function.
AI-based visualization of loose connective tissue as a dissectable layer in gastrointestinal surgery.
Sci Rep
January 2025
Department of Gastroenterological Surgery, Hyogo Medical University, Hyogo, Japan.
We aimed to develop an AI model that recognizes and displays loose connective tissue as a dissectable layer in real-time during gastrointestinal surgery and to evaluate its performance, including feasibility for clinical application. Training data were created under the supervision of gastrointestinal surgeons. Test images and videos were randomly sampled and model performance was evaluated visually by 10 external gastrointestinal surgeons.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!