Results 11 to 20 of about 19,201,385 (283)

A Survey of Multi-Focus Image Fusion Methods

Applied Sciences, 2022
As an important branch in the field of image fusion, the multi-focus image fusion technique can effectively solve the problem of optical lens depth of field, making two or more partially focused images fuse into a fully focused image.
Youyong Zhou, Lingjie Yu, Chao Zhi, Chuwen Huang, Shuai Wang, Mengqiu Zhu, Zhenxia Ke, Zhongyuan Gao, Yuming Zhang, Sida Fu   +9 more
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The automatic focus segmentation of multi-focus image fusion [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022
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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Multi Focus Image Fusion Using Statistical Approaches [PDF]

Engineering and Technology Journal, 2010
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
doaj   +3 more sources

Multi-Focus Microscopy Image Fusion Based on Swin Transformer Architecture

Applied Sciences, 2023
In this study, we introduce the U-Swin fusion model, an effective and efficient transformer-based architecture designed for the fusion of multi-focus microscope images.
Han Hank Xia, Hao Gao, Hang Shao, Kun Gao, Wei Liu   +4 more
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Multi-focus image fusion using maximum symmetric surround saliency detection [PDF]

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2016
In digital photography, two or more objects of a scene cannot be focused at the same time. If we focus one object, we may lose information about other objects and vice versa.
Durga Prasad Bavirisetti, Ravindra Dhuli
doaj   +2 more sources

A new generative method for multi-focus image fusion of underwater micro bubbles [PDF]

Scientific Reports
The optical detection methodology stands as a predominant approach for detecting underwater bubbles. Nonetheless, owing to poor underwater imaging conditions, the acquired image depth of field proves inadequate, posing significant challenges for the ...
Xionghui Li, Siguang Zong, Zike Duan, Shaopeng Yang, Bao Chen, Qiqin Lin   +5 more
doaj   +2 more sources

Multi-focus image fusion using multi-scale image decomposition and saliency detection [PDF]

Ain Shams Engineering Journal, 2018
In this paper, we develop a new multi-focus image fusion method based on saliency detection and multi-scale image decomposition. Proposed method is very efficient, since the visual saliency explored in this algorithm is able to emphasize visually ...
Durga Prasad Bavirisetti, Ravindra Dhuli
doaj   +3 more sources

Multi-Focus Image Fusion and Depth Map Estimation Based on Iterative Region Splitting Techniques [PDF]

Journal of Imaging, 2019
In this paper, a multi-focus image stack captured by varying positions of the imaging plane is processed to synthesize an all-in-focus (AIF) image and estimate its corresponding depth map.
Wen-Nung Lie, Chia-Che Ho
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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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Multi-Focus Image Fusion Algorithm in Sensor Networks

IEEE Access, 2018
Most imaging systems have a limited depth-of-field in the sensor networks that consist of multiple visual sensors. Due to different object distances, not every object can be clearly imaged by a single sensor.
Ying Tong, Jin Chen
doaj   +3 more sources