Results 21 to 30 of about 2,182,891 (278)
Sparse representation of astronomical images [PDF]
Journal of the Optical Society of America A, 2013 Sparse representation of astronomical images is discussed. It is shown that a significant gain in sparsity is achieved when particular mixed dictionaries are used for approximating these types of images with greedy selection strategies. Experiments are conducted to confirm: i)Effectiveness at producing sparse representations.
Laura Rebollo-Neira, James Bowley
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Generating Images with Sparse Representations
CoRR, 2021 The high dimensionality of images presents architecture and sampling-efficiency challenges for likelihood-based generative models. Previous approaches such as VQ-VAE use deep autoencoders to obtain compact representations, which are more practical as inputs for likelihood-based models.
Charlie Nash +3 more
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On basis images for the digital image representation
CoRR, 2019 Digital array orthogonal transformations that can be presented as a decomposition over basis items or basis images are considered. The orthogonal transform provides digital data scattering, a process of pixel energy redistributing, that is illustrated with the help of basis images.
Valery N. Gorbachev +4 more
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Learning the representation of instrument images in laparoscopy videos
Healthcare Technology Letters, 2019 Automatic recognition of instruments in laparoscopy videos poses many challenges that need to be addressed, like identifying multiple instruments appearing in various representations and in different lighting conditions, which in turn may be occluded by ...
Sabrina Kletz +2 more
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Parallax‐based second‐order mixed attention for stereo image super‐resolution
IET Computer Vision, 2022 Stereo image pairs can effectively enhance the performance of super‐resolution (SR) since both intra‐view and cross‐view information can be used. However, exploiting cross‐view information accurately is extremely challenging.
Chenyang Duan, Nanfeng Xiao
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The PAGE (Page Analysis and Ground-Truth Elements) format framework [PDF]
, 2010 There is a plethora of established and proposed document representation formats but none that can adequately support individual stages within an entire sequence of document image analysis methods (from document image enhancement to layout analysis to OCR)
Antonacopoulos, A, Pletschacher, S
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The Momentum Map Representation of Images [PDF]
Journal of Nonlinear Science, 2010 This paper discusses the mathematical framework for designing methods of large deformation matching (LDM) for image registration in computational anatomy. After reviewing the geometrical framework of LDM image registration methods, a theorem is proved showing that these methods may be designed by using the actions of diffeomorphisms on the image data ...
Martins Bruveris +3 more
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Extended IMD2020: a large‐scale annotated dataset tailored for detecting manipulated images
IET Biometrics, 2021 Image forensic datasets need to accommodate a complex diversity of systematic noise and intrinsic image artefacts to prevent any overfitting of learning methods to a small set of camera types or manipulation techniques.
Adam Novozámský +2 more
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Remote Sensing, 2023 The advancements in image super-resolution technology have led to its widespread use in remote sensing applications. However, there is currently a lack of a general solution for the reconstruction of satellite images at arbitrary resolutions.
Tai An +3 more
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VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
, 2018 Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Chen, Jiawei +2 more
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