Results 41 to 50 of about 19,201,385 (283)
Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]
, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT +3 more
core +1 more source
A New Robust Multi focus image fusion Method [PDF]
, 2021 In today's digital era, multi focus picture fusion is a critical problem in the field of computational image processing. In the field of fusion information, multi-focus picture fusion has emerged as a significant research subject.
Hafiz Muhammad Tayyab Khushi
core +1 more source
Multi-sensor data fusion for urban area classification [PDF]
, 2011 Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal,
Palubinskas, Gintautas +5 more
core +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
Multiresolution-based image fusion with additive wavelet decomposition [PDF]
, 1999 The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data.
Fors Aldrich, Octavi +8 more
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Unsupervised Deep Multi-focus Image Fusion
CoRR, 2018 Convolutional neural networks have recently been used for multi-focus image fusion. However, due to the lack of labeled data for supervised training of such networks, existing methods have resorted to adding Gaussian blur in focused images to simulate defocus and generate synthetic training data with ground-truth for supervised learning. Moreover, they
Xiang Yan +3 more
openaire +2 more sources
Region-based multimodal image fusion using ICA bases [PDF]
, 2006 In this paper, we present a novel multimodal image fusion algorithm in the independent component analysis (ICA) domain. Region-based fusion of ICA coefficients is implemented, where segmentation is performed in the spatial domain and ICA coefficients ...
Cvejic, N, Canagarajah, CN, Bull, DR
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Multi‐focus image fusion evaluation based on jointly sparse representation and atom focus measure
IET Image Processing, 2021 Multi‐focus image fusion (MFIF) tries to combine images with different in‐focus regions and get a composite image that is in focus everywhere. Although many new MFIF algorithms based on various new representation models have been proposed in recent years,
Yanxiang Hu +3 more
doaj +1 more source
Generative Multi-Focus Image Fusion
CoRRMulti-focus image fusion aims to generate an all-in-focus image from a sequence of partially focused input images. Existing fusion algorithms generally assume that, for every spatial location in the scene, there is at least one input image in which that location is in focus.
Xinzhe Xie +6 more
openaire +2 more sources
An FPGA implementation of pattern-Selective pyramidal image fusion [PDF]
, 2006 The aim of image fusion is to combine multiple images (from one or more sensors) into a single composite image that retains all useful data without introducing artefacts.
Sims, Oliver +5 more
core +1 more source