Time-sequential Pipelined Imaging with Wavefront Coding and Super Resolution [PDF]
, 2017 Wavefront coding has long offered the prospect of mitigating optical aberrations and extended depth of field, but image quality and noise performance are inevitably reduced. We report on progress in the use of agile encoding and pipelined fusion of image
Bradburn +6 more
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Toward reduction of artifacts in fused images [PDF]
, 2011 Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e.artifacts, in the resulting fusedimages. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or ...
Alonso +44 more
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FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization
Computers, 2020 Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image ...
Nishant Kumar, Stefan Gumhold
doaj +1 more source
General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks
Sensors, 2022 In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep learning-
Yifan Xiao +3 more
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Infrared and visible image fusion based on particle swarm optimization and dense block
Frontiers in Energy Research, 2022 Infrared and visible image fusion aims to preserve essential thermal information and crucial visible details from two types of input images to generate an informative fusion image for better visual perception. In recent years, several hybrid methods have
Jing Zhang +3 more
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Fine-grained multi-focus image fusion based on edge features
Scientific Reports, 2023 Multi-focus image fusion is a process of fusing multiple images of different focus areas into a total focus image, which has important application value.
Bin Tian, Lichun Yang, Jianwu Dang
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An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information
IEEE Access, 2021 Infrared and visible image fusion is a hot topic due to the perfect complementarity of their information. There are two key problems in infrared and visible image fusion.
Qingqing Li +5 more
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Quality assessment by region in spot images fused by means dual-tree complex wavelet transform [PDF]
, 2011 This work is motivated in providing and evaluating a fusion algorithm of remotely sensed images, i.e. the fusion of a high spatial resolution panchromatic image with a multi-spectral image (also known as pansharpening) using the dual-tree complex wavelet
Arquero Hidalgo, Águeda +2 more
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Image fusion in the JPEG 2000 domain [PDF]
, 2006 This paper presents a novel approach to image fusion in the JPEG 2000 domain. In this scheme, compressed images are fused without the need for full decompression. The proposed method can be integrated with the existing JPEG 2000 tools.
Bull, DR, Canagarajah, CN, Canga, EF
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Image fusion techniqes for remote sensing applications [PDF]
, 2002 Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts.
Bruzzone, Lorenzo +4 more
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