Results 21 to 30 of about 8,371,948 (295)

A multi‐focus image fusion method based on multi‐source joint layering and convolutional sparse representation

open access: yesIET Image Processing, 2022
In this paper, a new Multi‐Focus Image Fusion (MFIF) method based on multi‐source joint layering and Convolutional Sparse Representation (CSR) is proposed.
Yanxiang Hu   +4 more
doaj   +1 more source

Multi-focus cluster labeling

open access: yesJournal of Biomedical Informatics, 2015
Document collections resulting from searches in the biomedical literature, for instance, in PubMed, are often so large that some organization of the returned information is necessary. Clustering is an efficient tool for organizing search results. To help the user to decide how to continue the search for relevant documents, the content of each cluster ...
Line Eikvil   +2 more
openaire   +3 more sources

MCRD‐Net: An unsupervised dense network with multi‐scale convolutional block attention for multi‐focus image fusion

open access: yesIET Image Processing, 2022
Multi‐focus image fusion technology solves the problem of limited depth of field of the optical lens. It can extract different focus parts under the same target to synthesize a full‐focus image. This paper proposes an unsupervised dense network for multi‐
Ding Zhou   +5 more
doaj   +1 more source

Image-Registration Method and Multi-Focus Camera for Multi-Focus Image Processing.

open access: yesThe Journal of the Institute of Image Information and Television Engineers, 2000
We describe an image-registration method and a camera system for multi-focus image processing. We also describe a novel method for high-speed generation_ of arbitrarily focused images using graphic accelerator. The registration method uses global and local registration.
Kubota, Akira   +2 more
openaire   +2 more sources

Design, Measurement and Analysis of Near-Field Focusing Reflective Metasurface for Dual-Polarization and Multi-Focus Wireless Power Transfer

open access: yesIEEE Access, 2019
A new design of dual-polarization and multi-focus near-field focusing (NFF) reflective metasurface for wireless power transfer (WPT) system is proposed in this paper. In terms of multi-beam phase synthesis of reflective metasurface, the dual-polarization
Pei Zhang   +4 more
doaj   +1 more source

Pseudo‐Siamese residual atrous pyramid network for multi‐focus image fusion

open access: yesIET Image Processing, 2021
Depth of field is one of the critical reasons to limit the richness of image information. Usually, in a scene with multiple targets, when the distance between each target and the lens is different, the clear scene image can be get within a certain ...
Limai Jiang   +3 more
doaj   +1 more source

Supporting Focus and Context Awareness in 3D Modelling Tasks Using Multi-Layered Displays [PDF]

open access: yes, 2014
Most 3D modelling software have been developed for conventional 2D displays, and as such, lack support for true depth perception. This contributes to making polygonal 3D modelling tasks challenging, particularly when models are complex and consist of a ...
Rogers, Bill   +2 more
core   +1 more source

Multi-Focus Fusion Technique on Low-Cost Camera Images for Canola Phenotyping

open access: yesSensors, 2018
To meet the high demand for supporting and accelerating progress in the breeding of novel traits, plant scientists and breeders have to measure a large number of plants and their characteristics accurately.
Thang Cao   +4 more
doaj   +1 more source

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion

open access: yesIEEE Access, 2021
Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity ...
Bingzhe Wei, Xiangchu Feng, Weiwei Wang
doaj   +1 more source

Multi-focus thermal image fusion

open access: yesPattern Recognition Letters, 2013
This paper proposes a novel algorithm for multi-focus thermal image fusion. The algorithm is based on local activity analysis and advanced pre-selection of images into fusion process. The algorithm improves the object temperature measurement error up to 5 Celsius degrees.
Radek Benes   +4 more
openaire   +4 more sources

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