Results 21 to 30 of about 1,665,992 (319)
Multi-Focus Image Fusion Using the Local Fractal Dimension
International Journal of Advanced Robotic Systems, 2013 With the development of sensor and image-processing technology, image fusion has become a promising research field. Multi-focus image fusion is an important issue in multi-sensor image fusion. To make full use of the texture features of an image and take
Qingping Li, Junping Du, Liang Xu
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A Novel Method for CSAR Multi-Focus Image Fusion
Remote SensingCircular synthetic aperture radar (CSAR) has attracted a lot of interest, recently, for its excellent performance in civilian and military applications. However, in CSAR imaging, the result is to be defocused when the height of an object deviates from a ...
Jinxing Li +4 more
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Multi-Focus Image Fusion Based on Hessian Matrix Decomposition and Salient Difference Focus Detection. [PDF]
Entropy (Basel), 2022 Multi-focus image fusion integrates images from multiple focus regions of the same scene in focus to produce a fully focused image. However, the accurate retention of the focused pixels to the fusion result remains a major challenge.
Li X, Wang X, Cheng X, Tan H, Li X.
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Multi-Focus Image Fusion Based on Convolution Neural Network for Parkinson's Disease Image Classification. [PDF]
Diagnostics (Basel), 2021 Parkinson’s disease (PD) is a common neurodegenerative disease that has a significant impact on people’s lives. Early diagnosis is imperative since proper treatment stops the disease’s progression. With the rapid development of CAD techniques, there have
Dai Y +6 more
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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
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Pseudo‐Siamese residual atrous pyramid network for multi‐focus image fusion
IET 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
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IET Image Processing, 2023 In this paper, a novel conditional focus probability learning model, termed MCNN, is proposed for multi‐focus image fusion (MFIF). Given a pair of source images, their conditional focus probabilities can be generated by using the well‐trained MCNN, which
Chengchao Wang +4 more
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IET 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
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Multi Focus Image Fusion with variable size windows
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2018 In this paper we present the Linear Image Combination Algorithm with Variable Windows (CLI-VV) for the fusion of multifocus images. Unlike the CLI-S algorithm presented in a previous work, the CLI-VV algorithm allows to automatically determine the ...
Felix Calderon +2 more
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A Study on the Multi-focus Method of Microscopic Images for Oil-painting Analysis [PDF]
한국정밀공학회지, 2023 During digital microscopy of an oil painting surface it is inconvenient to analyze an entire image due to multiple defocused areas. The defocusing is usually caused by the small depth of the lens and the rough surface curve.
Hyung Tae Kim +4 more
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