Results 31 to 40 of about 1,665,992 (319)
Image-Registration Method and Multi-Focus Camera for Multi-Focus Image Processing.
The 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
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IET 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
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Multi-focus thermal image fusion
Pattern 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
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SAMF: Small-Area-Aware Multi-Focus Image Fusion for Object Detection [PDF]
IEEE International Conference on Acoustics, Speech, and Signal ProcessingExisting multi-focus image fusion (MFIF) methods often fail to preserve the uncertain transition region and detect small focus areas within large defocused regions accurately.
Xilai Li +3 more
semanticscholar +1 more source
Multi-focus Image Fusion: A Benchmark
CoRR, 2020 Multi-focus image fusion (MFIF) has attracted considerable interests due to its numerous applications. While much progress has been made in recent years with efforts on developing various MFIF algorithms, some issues significantly hinder the fair and comprehensive performance comparison of MFIF methods, such as the lack of large-scale test set and the ...
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Image Segmentation-Based Multi-Focus Image Fusion Through Multi-Scale Convolutional Neural Network
IEEE Access, 2017 A decision map contains complete and clear information about the image to be fused, and detecting the decision map is crucial to various image fusion issues, especially multi-focus image fusion.
Chaoben Du, Shesheng Gao
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Multi focus image fusion with region-center based kernel [PDF]
, 2021 The usage of the camera is ubiquitous nowadays. It provides highly accurate information. Then, the camera helps humans to carry out their specific tasks correctly.
Kamarul Hawari, Ghazali, Ismail, .
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Critical Review of Multi-focus Image Fusion Based on Deep Learning Method [PDF]
Jisuanji kexue yu tansuoMulti-focus image fusion is an effective image fusion technology, which aims to combine source images from different focal planes of the same scene to obtain a good fusion result.
LI Ziqi, SU Yuxuan, SUN Jun, ZHANG Yonghong, XIA Qingfeng, YIN Hefeng
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Multi-scale Multi-attention Network for Moiré Document Image Binarization
, 2021 In this paper, we propose a Multi-scale Multi-attention Network (MsMa-Net) to binarize document images contaminated by moiré patterns from camera-captured screens.
Ji, Caijuan +4 more
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Multi-Focus Image Fusion Based on Residual Network in Non-Subsampled Shearlet Domain
IEEE Access, 2019 In order to obtain a panoramic image which is clearer, and has more layers and texture features, we propose an innovative multi-focus image fusion algorithm by combining with non-subsampled shearlet transform (NSST) and residual network (ResNet).
Shuaiqi Liu +5 more
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