Results 1 to 10 of about 802,053 (235)
Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain. [PDF]
Multi-focus image fusion is an effective approach to obtain the all-in-focus image. Focus detection is the key issue of multi-focus image fusion. Aiming at the shortcoming of spatial domain and transform domain algorithms for multi-focus image fusion, a ...
Hongmei Wang
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Multi-focus image fusion dataset and algorithm test in real environment [PDF]
Shuaiqi Liu +12 more
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A Fast Method of Cell Image Fusion Based on Content Analysis
The cells under the microscope are not in the same focal plane due to adhesion and overlap,and image fusion is required to obtain a clear image. The existing method is inefficient to fuse the whole image.
JIAN Fu-rong +3 more
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The automatic focus segmentation of multi-focus image fusion [PDF]
Multi-focus image fusion is a method of increasing the image quality and preventing image redundancy. It is utilized in many fields such as medical diagnostic, surveillance, and remote sensing. There are various algorithms available nowadays.
K. Hawari, Ismail Ismail
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FATE MAPPING MULTI-FOCUS PHENOTYPES [PDF]
ABSTRACT A central assumption used in the genetic fate mapping of anatomical sites responsible for certain mutationally induced abnormalities is that a single pair of bilaterally symmetric sites on the blastoderm gives rise to structures that control the expression of that abnormality. We report a new model that is not so constrained and
J, Arnold, D R, Kankel
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Motivated by novel developments in smart non-Newtonian thermal duct systems, a theoretical study has been presented in this article for electro-magneto-hydrodynamic (EMHD) buoyancy-driven flow of a fourth-grade viscoelastic fluid in a vertical duct with ...
Lijun Zhang +4 more
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Multi Focus Image Fusion Using Statistical Approaches [PDF]
Pictures of the long focal lengths cameras, suffer from the problem of limiteddepth of field. Consequently, it is often difficult to obtain good focus for allobjects in the picture.
Rana F. Ghani, Abdulameer A. Kareem
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CFNet: Context fusion network for multi‐focus images
Multi‐focus image fusion aims to generate a clear image by fusing multiple source images. Existing deep learning‐based fusion methods often neglect the context information resulting in the loss of detail information.
Kang Zhang +3 more
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Multi-focus autofocusing circular hyperbolic umbilic beams
We propose and demonstrate a type of multi-focus autofocusing beams, circular hyperbolic umbilic beams (CHUBs), based on the double-active variable caustics in catastrophe theory. The mathematical form is more general compared to circular Airy, Pearcey and swallowtail beams.
Naichen Zhang +9 more
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Multi‐focus image fusion evaluation based on jointly sparse representation and atom focus measure
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
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