Results 141 to 150 of about 312,519 (176)

Multi Focus Image Fusion by Differential Evolution Algorithm

Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 2014
In applications of imaging system one of the major problems is the limited depth of field which disallow to obtain all-in-focus image. However, microscopic and photographic applications desire to have all-in-focus images. One of the most popular ways to obtain all-in-focus images is the multi focus image fusion.
TOPRAK, Ahmet Nusret, ASLANTAŞ, Veysel
openaire   +2 more sources

Optimal fusion method for multi-focus images

SPIE Proceedings, 2007
This paper presents a fusion method for multi-focus images to produce a new clear image for the scene. First we analyze the defocused image formation process and obtain a set of ill-posed equations. By imposing some constraints, they become well-posed and the fusion task is converted to a simple optimization problem.
Jianting Wen, Haifeng Gong, Bing Zhang
openaire   +1 more source

Multi-focus image fusion based on NLEMD

2008 IEEE International Conference on Automation and Logistics, 2008
One new multi-focus image fusion algorithm based on limited neighborhood empirical mode decomposition (NLEMD) is proposed. Firstly the images are decomposed by NLEMD, and this algorithm makes full use of its adaptive feature of NLEMD and the powerful capability of achieving high-frequency data to fuse images. In different intrinsic mode functions (IMF),
null Zhao Jing, null Xu Bo, null Liu Fei
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BFO-ICA based multi focus image fusion

2013 IEEE Symposium on Swarm Intelligence (SIS), 2013
This paper presents a pixel based multi focus image fusion technique using independent component analysis (ICA) and bacteria foraging optimization (BFO) algorithm. The basic idea here is to obtain the ICA bases from a set of registered images and optimize them using BFO.
S. Agrawal, S. Swain, L. Dora
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Survey on multi-focus image fusion algorithms

2014 Recent Advances in Engineering and Computational Sciences (RAECS), 2014
Image fusion is a technique of combining source images i.e. multi-modal, multi-focus etc. to obtain a new more informative image. Multi-focus image fusion algorithm combines different images having different parts in focus. Applications of image fusion includes remote sensing, digital camera etc.
Rishu Garg, Preeti Gupta, Harvinder Kaur
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Multi Focus Image Fusion using Image Enhancement Methods

ICCK Journal of Image Analysis and Processing
The challenge with multifocus images lies in different regions being in focus across various shots, resulting in some areas appearing blurry while others are sharp. This issue is prevalent in fields such as medical imaging, remote sensing, and photography, where clear and detailed images are essential.
Mian Muhammad Danyal, Omar Bin Samin, Sarwar Shah Khan, Sajid Khan   +3 more
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Quality estimation based multi-focus image fusion

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In this work, a quality estimation based multi-focus image fusion method (QEBIF) is proposed. In this method, the all-in-focus image is generated by pixel-wise summarizing the multi-focus images with their estimated focus levels as weights. Since the visual quality of an image is highly correlated with its focus level, the visual quality is estimated ...
Jingwei Guan, Wai-Kuen Cham
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Multi-focus Image Fusion: Neural Network Approach

2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), 2017
When distance of all objects in a scene from the camera lens is not equal, some objects appear clear while others appear blur in a photograph. To have focus on each object in entire photograph, fusion proves to be reasonable solution. Thus different photographs or pictures or images having focused on different objects are mixed together in fusion.
Vaidehi Deshmukh, Aditi Chandsare, Vaishnavi Gotmare, Atul Patil   +3 more
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Zero-Shot Multi-Focus Image Fusion

2021 IEEE International Conference on Multimedia and Expo (ICME), 2021
Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma   +3 more
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Depth-Distilled Multi-Focus Image Fusion

IEEE Transactions on Multimedia, 2023
Fan Zhao, Wenda Zhao, Huimin Lu, Yong Liu, Libo Yao, Yu Liu   +5 more
openaire   +1 more source