Image fusion based on multi‐scale transform and sparse representation: an image energy approach

Fakhari, Fatemeh; Mosavi, Mohammad Reza; Lajvardi, Mehdi Mohamadzade

doi:10.1049/iet-ipr.2017.0104

Cited by 27 publications

(8 citation statements)

References 29 publications

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“…In terms of the design of video image scale space fusion method under medical big data, the visualization and multi-dimensional animation in image video should be considered first, because the data form of these modes is complex [ 12 , 13 ], and the attribute problem should be considered to fuse them, as shown in Fig. 1 , which is the image scale space fusion method designed under medical big data.…”

Section: Design Of Scale Space Fusion Methods For Medical Big Data Vidmentioning

confidence: 99%

Research on Scale Space Fusion Method of Medical Big Data Video Image

Wang

Wei

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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In the research of scale space fusion of medical big data video image, due to the different spatial management methods of multi-source video image, the efficiency of multi-dimensional scale space fusion is low, so a new image scale space fusion method is designed according to the characteristics of medical big data video image. From the aspect of video image visualization and multi-dimensional space fusion, the space fusion method is designed respectively, and the sampling survey method is adopted for experimental analysis to obtain experimental data. The experimental results show that the proposed method is feasible and reliable.

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Section: Design Of Scale Space Fusion Methods For Medical Big Data Vidmentioning

confidence: 99%

Research on Scale Space Fusion Method of Medical Big Data Video Image

Wang

Wei

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…There are many applications of image fusion technology in measurement, and many scholars have improved the application in this area. Fakhari et al 1 . believe that image fusion is the process of enhancing the human perception of different images in the same scene.…”

Section: Related Workmentioning

confidence: 99%

(Retracted) Measurement method and experimental study of complex profile of turbine blade based on image fusion

Huang

Zhou

et al. 2022

J. Electron. Imag.

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.The hydraulic turbine is the core machinery of tidal power generation, and the performance of the hydraulic turbine determines the installed power and power generation efficiency. The purpose of this paper is to study the measurement method of turbine blades. A method for identifying the turbine blade based on image fusion technology is proposed. Based on the image recognition technology, the complex surface of the turbine blade is preprocessed, and then a method for extracting the complex surface of the turbine blade based on the genetic algorithm is proposed. This can effectively identify images based on image fusion processing, especially after the learning iteration of the genetic algorithm, and can achieve a good recognition effect. The experimental results of this paper show that the algorithm proposed in this paper has a measurement coverage rate of 99.70% for the turbine blades.

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“…At present, all-focus fusion for traditional images is mainly divided into spatial domain [5,6] and transform domain [7][8][9]. The spatial domain performs definition evaluation based on pixels or blocks, and extracts high-quality pixels from different images to form a full-focus image.…”

Section: Introductionmentioning

confidence: 99%

Fast all-focus image reconstruction method based on light field imaging

2022

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To achieve high-quality imaging of all focal planes with large depth of field information, a fast all-focus image reconstruction technology based on light field imaging is proposed: combining light field imaging to collect field of view information, and using light field reconstruction to obtain a multi-focus image source set, using the improved NSML image fusion method performs image fusion to quickly obtain an all-focus image with a large depth of field. Experiments have proved that this method greatly reduces the time consumed in the image fusion process by simplifying the calculation process of NSML, and improves the efficiency of image fusion. This method not only achieves excellent fusion image quality, but also improves the real-time performance of the algorithm.

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Image fusion based on multi‐scale transform and sparse representation: an image energy approach

Cited by 27 publications

References 29 publications

Research on Scale Space Fusion Method of Medical Big Data Video Image

Research on Scale Space Fusion Method of Medical Big Data Video Image

(Retracted) Measurement method and experimental study of complex profile of turbine blade based on image fusion

Fast all-focus image reconstruction method based on light field imaging

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