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Results 1 - 10
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4,930
IMAGE DECOMPOSITION USING DECONVOLUTION
"... We present a novel method for decomposing an image into base and texture layers. Our method is simple and effective, and can handle textures of high contrast, which traditional image filtering techniques may not handle efficiently. The method first removes high-frequency texture information using lo ..."
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low-pass filtering, and then restores structural information of the image using a deconvolution operation. Experimental results demonstrate the effectiveness of our method. Index Terms — texture layer, image decomposition, image filtering 1.
A theory for multiresolution signal decomposition : the wavelet representation
- IEEE Transaction on Pattern Analysis and Machine Intelligence
, 1989
"... Abstract-Multiresolution representations are very effective for analyzing the information content of images. We study the properties of the operator which approximates a signal at a given resolution. We show that the difference of information between the approximation of a signal at the resolutions ..."
Abstract
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Cited by 3538 (12 self)
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Abstract-Multiresolution representations are very effective for analyzing the information content of images. We study the properties of the operator which approximates a signal at a given resolution. We show that the difference of information between the approximation of a signal at the resolutions
TEXTURE MODULATION-CONSTRAINED IMAGE DECOMPOSITION
"... Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constraints from the outputs of linear �lters tuned to different spatial frequencies and orientations. Relevant to the texture i ..."
Abstract
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Cited by 2 (0 self)
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Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constraints from the outputs of linear �lters tuned to different spatial frequencies and orientations. Relevant to the texture
View Interpolation for Image Synthesis
"... Image-space simplifications have been used to accelerate the calculation of computer graphic images since the dawn of visual simulation. Texture mapping has been used to provide a means by which images may themselves be used as display primitives. The work reported by this paper endeavors to carry t ..."
Abstract
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Cited by 603 (0 self)
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quadtree decomposition and a view-independent visible priority. Our experiments have shown that the morphing can be performed at interactive rates on today’s high-end personal computers. Potential applications of the method include virtual holograms, a walkthrough in a virtual environment, image
Image Decomposition via the Combination of Sparse Representations and a Variational Approach
- IEEE Transactions on Image Processing
, 2004
"... The separation of image content into semantic parts plays a vital role in applications such as compression, enhancement, restoration, and more. In recent years several pioneering works suggested such a separation based on variational formulation, and others using independent component analysis and s ..."
Abstract
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Cited by 219 (28 self)
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The separation of image content into semantic parts plays a vital role in applications such as compression, enhancement, restoration, and more. In recent years several pioneering works suggested such a separation based on variational formulation, and others using independent component analysis
Sparse Representations for Image Decompositions
, 1999
"... We are given an image I and a library of templates such that is an overcomplete basis for I . The templates can represent objects, faces, features, analytical functions, or be single pixel templates (canonical templates). There are infinitely many ways to decompose I as a linear combination of t ..."
Abstract
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Cited by 4 (0 self)
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of the library templates. Each decomposition defines a representation for the image I , given L.
AUTOMATIC IMAGE DECOMPOSITION
, 2004
"... The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In [11, 16], the authors proposed a technique to achieve this decomposition into structure and texture. These two components are competing ones, and their proposed ..."
Abstract
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Cited by 1 (0 self)
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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 [11, 16], the authors proposed a technique to achieve this decomposition into structure and texture. These two components are competing ones
SIGNAL RECOVERY BY PROXIMAL FORWARD-BACKWARD SPLITTING
- MULTISCALE MODEL. SIMUL. TO APPEAR
"... We show that various inverse problems in signal recovery can be formulated as the generic problem of minimizing the sum of two convex functions with certain regularity properties. This formulation makes it possible to derive existence, uniqueness, characterization, and stability results in a unifi ..."
Abstract
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Cited by 509 (24 self)
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for a variety of existing iterative methods. Applications to geometry/texture image decomposition schemes are also discussed. A novelty of our framework is to use extensively the notion of a proximity operator, which was introduced by Moreau in the 1960s.
Shape and motion from image streams under orthography: a factorization method
- INTERNATIONAL JOURNAL OF COMPUTER VISION
, 1992
"... Inferring scene geometry and camera motion from a stream of images is possible in principle, but is an ill-conditioned problem when the objects are distant with respect to their size. We have developed a factorization method that can overcome this difficulty by recovering shape and motion under orth ..."
Abstract
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Cited by 1094 (38 self)
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Inferring scene geometry and camera motion from a stream of images is possible in principle, but is an ill-conditioned problem when the objects are distant with respect to their size. We have developed a factorization method that can overcome this difficulty by recovering shape and motion under
Image Decomposition and Restoration Using Total Variation Minimization and the H^-1 Norm
- Simul
, 2002
"... In this paper, we propose a new model for image restoration and decomposition, based on the total variation minimization of Rudin-Osher-Fatemi, and of the results of Y. Meyer on oscillatory functions. An initial image f is decomposed into a cartoon part u and a texture or noise part v. The u comp ..."
Abstract
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Cited by 145 (18 self)
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In this paper, we propose a new model for image restoration and decomposition, based on the total variation minimization of Rudin-Osher-Fatemi, and of the results of Y. Meyer on oscillatory functions. An initial image f is decomposed into a cartoon part u and a texture or noise part v. The u
Results 1 - 10
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4,930
