Results 201 to 210 of about 53,412 (252)
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Multi-focus image fusion with dense SIFT
Information Fusion, 2015Multi-focus image fusion technique is an important approach to obtain a composite image with all objects in focus. The key point of multi-focus image fusion is to develop an effective activity level measurement to evaluate the clarity of source images.
Yu Liu, Zengfu Wang
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Multi-focus image fusion techniques: a survey
Artificial Intelligence Review, 2021Multi-Focus Image Fusion (MFIF) is a method that combines two or more source images to obtain a single image which is focused, has improved quality and more information than the source images. Due to limited Depth-of-Field of the imagining system, extracting all the useful information from a single image is challenging.
Shiveta Bhat, Deepika Koundal
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Multi-image transformer for multi-focus image fusion
Signal Processing: Image Communication, 2023Multi-Focus Image Fusion (MFIF) is an image enhancement task that fuses images in which different regions are in focus to achieve an all-in-focus image. In recent years, Generative Adversarial Networks (GANs)-based approaches have significantly improved the MFIF on Convolutional Neural Network (CNN) architectures.
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Ensemble of CNN for multi-focus image fusion
Information Fusion, 2019Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion methods have recently attracted enormous attention. They greatly enhanced the constructed decision map compared with the previous state of the art methods that have been done in the spatial and transform domains.
Mostafa Amin Naji +2 more
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Multi-Focus Image Fusion of Digital Images
2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009Image fusion is the process by which two or more images are combined into a single image, retaining the important features from each of the original images. The goal of Image Fusion (IF) is to integrate complementary multi-sensor, multi-temporal and/or multi-view information into one new image, the quality of which cannot be achieved otherwise.
Anjali Malviya, S. G. Bhirud
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Spatial domain multi-focus image fusion
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image.
Ahmet Nusret Toprak, Veysel Aslantas
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Fusion of multi-focus images with registration inaccuracies
Signal, Image and Video Processing, 2016Image fusion combines complementary information for several input images. To obtain useful information from two misaligned images, registration is required. A hybrid textural registration-based multi-focus image fusion scheme is proposed. The Gabor filtering with specific frequency and orientation is used to extract different texture features from the ...
Attiq Ahmad +5 more
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Multi-focus image fusion using PCNN
Pattern Recognition, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhaobin Wang, Yide Ma, Jason Gu
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Multi-focus image fusion with joint guided image filtering
Signal Processing: Image Communication, 2021Abstract Multi-focus image fusion is the activity of synthesizing multiple images of different focusing settings to construct a fully focused image. Many of the latest methods for image fusion rarely consider the structural differences between the guidance image and the input image, and do not retain well the important source image features while ...
Yongxin Zhang +3 more
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Salience Preserving Multi-Focus Image Fusion
Multimedia and Expo, 2007 IEEE International Conference on, 2007This paper proposes a novel multi-focus image fusion algorithm. Different from traditional decision map based methods, our algorithm is based on salience preserving gradient, which can better emphasize the structure details of sources while preserving the color consistency.
Richang Hong +5 more
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