Results 51 to 60 of about 1,665,992 (319)
Multi-Focus Image Fusion Algorithm in Sensor Networks
IEEE Access, 2018 Most imaging systems have a limited depth-of-field in the sensor networks that consist of multiple visual sensors. Due to different object distances, not every object can be clearly imaged by a single sensor.
Ying Tong, Jin Chen
doaj +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Future Internet, 2016 The multi-focus image fusion method is used in image processing to generate all-focus images that have large depth of field (DOF) based on original multi-focus images.
Zhiqin Zhu +3 more
doaj +1 more source
IEEE Access, 2020 In this paper, a novel de-ghosting image fusion technique is presented, which enhances the quality of low dynamic range images using multi-level exposures taken from the ordinary camera and also removes the ghosting artifact.
Muhammad Sohaib Roomi +5 more
doaj +1 more source
Trainable Self-Guided Filter for Multi-Focus Image Fusion
IEEE Access, 2023 Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point.
Levent Karacan
doaj +1 more source
Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion
IEEE transactions on multimediaMulti-focus image fusion is a technique to fuse the images focused on different depth ranges to generate an all-in-focus image. Existing deep learning approaches to multi-focus image fusion can be categorized as end-to-end methods and decision map based ...
Juncheng Zhang +5 more
semanticscholar +1 more source
Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]
, 2013 Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core
Multi-focus images and focus maps.
, 2018 (a)-(b) Multi-focus source images, (c) Focus map by SML in spatial domain, (d) Morphological operation result of (c), (e) Focus map by MPCNN and voting in NSCT domain, (f) Morphological operation result of (d), (g) Consistent and inconsistent regions for
Hongmei Wang (190581)
core +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source