Results 51 to 60 of about 19,201,385 (283)
Complex & Intelligent Systems, 2023 As for the problems of boundary blurring and information loss in the multi-focus image fusion method based on the generative decision maps, this paper proposes a new gradient-intensity joint proportional constraint generative adversarial network for ...
Junwu Li, Binhua Li, Yaoxi Jiang
doaj +1 more source
Multi-sensor remote sensing information fusion for urban area classification and change detection [PDF]
, 2011 Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and
Palubinskas, Gintautas +5 more
core +1 more source
MF-SRGAN: A Super-Resolution Generative Adversarial Network for Multi-Focus Image Fusion [PDF]
International Journal of Mathematical, Engineering and Management SciencesIn computational imaging, multi-focus image fusion is a critical process that aims to produce a single image that covers all-in-focus areas from numerous partially focused input images.
Shatabdi Basu +2 more
doaj +1 more source
Feature-Level Multi-focus Image Fusion using Neural Network and Image Enhancement [PDF]
, 2012 Image Processing applications have grown vastly in real world. Commonly due to limited depth of optical field lenses, it becomes inconceivable to obtain an image where all the objects are in focus.
Dr. G. Mamatha +2 more
core
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
Multi-Scale Visual Attention Deep Convolutional Neural Network for Multi-Focus Image Fusion
IEEE Access, 2019 To realize the multi-focus image fusion task, an end-to-end deep convolutional neural network (DCNN) model that produces the final fused image directly from the source images is presented in this paper.
Rui Lai +3 more
doaj +1 more source
Pixel Level Image Fusion using Fuzzylet Fusion Algorithm [PDF]
, 2013 Image fusion algorithms based on SWT (Stationary Wavelet Transform) and fuzzy logic were developed and demonstrated. It was observed that fusion using SWT with higher levels of decomposition provides better fusion results. Similarly, Fuzzy image fusion
Bindu, Elias, Naidu, VPS, Swathi, Nair
core
An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes
FEBS Letters, EarlyView.GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg +14 more
wiley +1 more source
Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition
Frontiers in Neurorobotics, 2021 Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads to inherent color structures change, and causes tonal distortion and blur in the fusion results.
Hui Wan +5 more
doaj +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