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MarShip-DET: A Frequency-Aware Multi-Scale Fusion Algorithm for Ship Detection in Maritime Remote Sensing Imagery. [PDF]
Sensors (Basel)Chen K, Zhu X, Liu Z, Zhao F, Wang K.
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Neural Computing and Applications, 2021
Image decomposition, which separates a given input image into structure and texture images, has been used for various applications in the fields of computer graphics and image processing. Most previous image decomposition algorithms and applications start with high-quality images, but it requires numerous steps to separate and edit the high-resolution ...
Hwanbok Mun +3 more
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Image decomposition, which separates a given input image into structure and texture images, has been used for various applications in the fields of computer graphics and image processing. Most previous image decomposition algorithms and applications start with high-quality images, but it requires numerous steps to separate and edit the high-resolution ...
Hwanbok Mun +3 more
openaire +2 more sources
MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion [PDF]
IEEE Transactions on Image Processing, 2020 Image decomposition is crucial for many image processing tasks, as it allows to extract salient features from source images. A good image decomposition method could lead to a better performance, especially in image fusion tasks.
Xiao-Jun Wu, Hui Li, Josef Kittler
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Monolithic image decomposition
Neurocomputing, 2019Abstract Image decomposition is one of the essential image processing techniques in computer vision and computational photography because it can be applied to various areas, such as image smoothing, detail enhancement, image abstraction, and high-dynamic-range compression.
Sang Min Yoon +2 more
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2004 International Conference on Image Processing, 2004. ICIP '04., 2004
The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In previous works, various authors have proposed a technique to achieve this decomposition into structure and texture.
Kedar A. Patwardhan, Guillermo Sapiro
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The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In previous works, various authors have proposed a technique to achieve this decomposition into structure and texture.
Kedar A. Patwardhan, Guillermo Sapiro
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Color image decomposition and restoration
Journal of Visual Communication and Image Representation, 2006Abstract Meyer has recently introduced an image decomposition model to split an image into two components: a geometrical component and a texture (oscillatory) component. Inspired by his work, numerical models have been developed to carry out the decomposition of gray scale images.
Jean-Francois Aujol, Sung Ha Kang
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Morphological structuring image decomposition
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991Two major structuring element decomposition techniques are compared, and the superiority of the two pixel decomposition techniques over the cellular decomposition technique is shown in terms of the number of pipeline stages. As for the general structuring function decomposition, to the authors' knowledge, there is no efficient algorithm that has been ...
Xinhua Zhuang +2 more
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Dual Norms and Image Decomposition Models [PDF]
International Journal of Computer Vision, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jean-Francois Aujol, Antonin Chambolle
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