This paper introduces an adaptive image rendering using a parametric nonlinear mapping-function-based on the retinex model in a low-light source. For this study, only a luminance channel was used to estimate the reflectance component of an observed low-light image, therefore halo artifacts coming from the use of the multiple center/surround Gaussian filters were reduced. A new nonlinear mapping function that incorporates the statistics of the luminance and the estimated reflectance in the reconstruction process is proposed. In addition, a new method to determine the gain and offset of the mapping function is addressed to adaptively control the contrast ratio. Finally, the relationship between the estimated luminance and the reconstructed luminance is used to reconstruct the chrominance channels. The experimental results demonstrate that the proposed method leads to the promised subjective and objective improvements over state-of-the-art, scale-based retinex methods.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412540 | PMC |
| http://dx.doi.org/10.3390/s19040969 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multimodal Imaging Unveils the Impact of Nanotopography on Cellular Metabolic Activities.
Chem Biomed Imaging
December 2024
Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.
Nanoscale surface topography is an effective approach in modulating cell-material interactions, significantly impacting cellular and nuclear morphologies, as well as their functionality. However, the adaptive changes in cellular metabolism induced by the mechanical and geometrical microenvironment of the nanotopography remain poorly understood. In this study, we investigated the metabolic activities in cells cultured on engineered nanopillar substrates by using a label-free multimodal optical imaging platform.
View Article and Find Full Text PDFConservation of structural brain connectivity in people with multiple sclerosis.
Netw Neurosci
December 2024
Neuroradiology Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
Multiple sclerosis (MS) is a neurodegenerative disease that affects the central nervous system. Structures affected in MS include the corpus callosum, connecting the hemispheres. Studies have shown that in mammalian brains, structural connectivity is organized according to a conservation principle, an inverse relationship between intra- and interhemispheric connectivity.
View Article and Find Full Text PDFMODALITY-AGNOSTIC LEARNING FOR MEDICAL IMAGE SEGMENTATION USING MULTI-MODALITY SELF-DISTILLATION.
Proc IEEE Int Symp Biomed Imaging
May 2024
Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA.
In medical image segmentation, although multi-modality training is possible, clinical translation is challenged by the limited availability of all image types for a given patient. Different from typical segmentation models, modality-agnostic (MAG) learning trains a single model based on all available modalities but remains input-agnostic, allowing a single model to produce accurate segmentation given any modality combinations. In this paper, we propose a novel frame-work, MAG learning through Multi-modality Self-distillation (MAG-MS), for medical image segmentation.
View Article and Find Full Text PDFGait characteristics in idiopathic normal pressure hydrocephalus: a review on the effects of CSF tap test and shunt surgery.
Eur J Med Res
December 2024
Department of Neurology, Faculty of Medicine and Dentistry, Palacky University and University Hospital Olomouc, Olomouc, Czech Republic.
Background: Idiopathic normal pressure hydrocephalus (iNPH) is a progressive disease characterized by disproportionate ventricular enlargement at brain imaging with gait disturbance and an increased risk of falling. Gait assessment is a key feature in the diagnosis of iNPH and characterization of post-surgical outcomes.
Research Question: How do gait parameters change 24 h after CSF tap test (CSFTT) and after ventriculoperitoneal shunt surgery?
Methods: The PRISMA guidelines were used to perform the systematic review.
Adaptive bipartite time-varying formation tracking control for heterogeneous multi-agent systems with DoS attacks.
ISA Trans
December 2024
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China. Electronic address:
Denial-of-service (DoS) attacks and antagonistic interactions may exist in complex networks, which will destroy cooperative communication between agents and thus cannot realize collaborative tasks. Therefore, this paper studies time-varying formation tracking (TVFT) of heterogeneous multi-agent systems (HMASs) with DoS attacks and cooperative-antagonistic interactions. It aims to ensure system communication connectivity and allow followers to achieve distributed secure bipartite TVFT.
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!