Results 11 to 20 of about 2,163,711 (277)
Hypernetwork functional image representation
, 2019 Motivated by the human way of memorizing images we introduce their functional representation, where an image is represented by a neural network. For this purpose, we construct a hypernetwork which takes an image and returns weights to the target network,
C Christopoulos +13 more
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Sparse Image Representation with Epitomes [PDF]
CVPR 2011, 2011 Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictionary, is learned to adapt to specific data.
Bach, Francis +3 more
core +7 more sources
Image-based BRDF Representation [PDF]
Journal of Applied Mathematics, Statistics and Informatics, 2015 Abstract To acquire a certain level of photorealism in computer graphics, it is necessary to analyze, how the materials scatter the incident light. In this work, we propose the method to direct rendering of isotropic bidirectional reflectance function (BRDF) from the small set of images. The image-based rendering is focused to synthesize
Mihálik, A., Ďurikovič, R.
openaire +2 more sources
Image Retargeting via Beltrami Representation [PDF]
IEEE Transactions on Image Processing, 2018 13pages, 13 ...
Chun Pong Lau +2 more
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Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation
IEEE Access, 2020 Projective non-negative matrix factorization (PNMF) as a variant of NMF has received considerable attention. However, the existing PNMF methods can be further improved from two aspects.
Peng Luo +7 more
doaj +1 more source
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.
Rebollo-Neira, Laura, Bowley, James
openaire +3 more sources
FNRegion: A fast NAM‐based region extraction algorithm
IET Image Processing, 2023 Region extraction is usually used by many computer vision tasks as a pre‐processing step to extract image features. However, how to efficiently extract effective regions remains a challenging problem.
Yunping Zheng, Bowen Yang, Mudar Sarem
doaj +1 more source
Representing Blurred Image without Deblurring
Mathematics, 2023 The effective recognition of patterns from blurred images presents a fundamental difficulty for many practical vision tasks. In the era of deep learning, the main ideas to cope with this difficulty are data augmentation and deblurring.
Shuren Qi +3 more
doaj +1 more source
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
, 2012 Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat +3 more
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Large Margin Image Set Representation and Classification [PDF]
, 2014 In this paper, we propose a novel image set representation and classification method by maximizing the margin of image sets. The margin of an image set is defined as the difference of the distance to its nearest image set from different classes and the ...
Alzahrani, Majed +2 more
core +2 more sources