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  1. Science in China Series : Information Sciences
  2. Science in China Series : Information Sciences : Volume 57
  3. Science in China Series : Information Sciences : Volume 57, Issue 2, February 2014
  4. Adaptive variational models for image decomposition
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Science in China Series : Information Sciences : Volume 61
Science in China Series : Information Sciences : Volume 60
Science in China Series : Information Sciences : Volume 59
Science in China Series : Information Sciences : Volume 58
Science in China Series : Information Sciences : Volume 57
Science in China Series : Information Sciences : Volume 57, Issue 12, December 2014
Science in China Series : Information Sciences : Volume 57, Issue 11, November 2014
Science in China Series : Information Sciences : Volume 57, Issue 10, October 2014
Science in China Series : Information Sciences : Volume 57, Issue 9, September 2014
Science in China Series : Information Sciences : Volume 57, Issue 8, August 2014
Science in China Series : Information Sciences : Volume 57, Issue 7, July 2014
Science in China Series : Information Sciences : Volume 57, Issue 6, June 2014
Science in China Series : Information Sciences : Volume 57, Issue 5, May 2014
Science in China Series : Information Sciences : Volume 57, Issue 4, April 2014
Science in China Series : Information Sciences : Volume 57, Issue 3, February 2014
Science in China Series : Information Sciences : Volume 57, Issue 2, February 2014
Erratum to: A sequential GM-based PHD filter for a linear Gaussian system
Survivability-oriented optimal node density for randomly deployed wireless sensor networks
Novel silicon-controlled rectifier (SCR) for digital and high-voltage ESD power supply clamp
3D facial motion tracking by combining online appearance model and cylinder head model in particle filtering
Network selection policy based on effective capacity in heterogeneous wireless communication systems
On the Walsh spectrum of a family of quadratic APN functions with five terms
Exploiting transmission opportunities in heterogeneous wireless networks: a transmission power saving perspective
Adaptive variational models for image decomposition
Phase detection based range estimation with a dual-band robust Chinese remainder theorem
Remote charge scattering: a full Coulomb interaction approach and its impact on silicon nMOS FinFETs with HfO$_{2}$ gate dielectric
A new barycenter code discriminator for multi-access interference
Improved construction of LDPC convolutional codes with semi-random parity-check matrices
Cooperative spectrum sensing based on stochastic resonance in cognitive radio networks
Complex instabilities near codimension-2 bifurcation and torus breakdown in a Ćuk converter with an inductive impedance load
Reduced-order H $_{∞}$ filtering for navigation with carrier phase
Design of efficiently encodable nonbinary LDPC codes for adaptive coded modulation
High-sum-rate beamformers for multi-pair two-way relay networks with amplify-and-forward relaying strategy
Comparison of parametric sparse recovery methods for ISAR image formation
Investigation on the spatial-polarizational correlation based on 3GPP spatial channel model
Multi-channel power allocation based on market competitive equilibrium in cognitive radio networks
Low power adiabatic logic based on FinFETs
Iterative signal reconstruction of deliberately clipped SMT signals
Optimal resource allocation for transmission diversity in multi-radio access networks: a coevolutionary genetic algorithm approach
Modeling and analysis of nano-sized GMRs based on Co, NiFe and Ni materials
3D geometry-dependent texture map compression with a hybrid ROI coding
Improved two-way satellite time and frequency transfer with Multi-GEO in BeiDou navigation system
A method to evaluate the spatial extensibility of a switching unit and network
A framework for identifying shifted double JPEG compression artifacts with application to non-intrusive digital image forensics
Science in China Series : Information Sciences : Volume 57, Issue 1, January 2014
Science in China Series : Information Sciences : Volume 56
Science in China Series : Information Sciences : Volume 55
Science in China Series : Information Sciences : Volume 54
Science in China Series : Information Sciences : Volume 53
Science in China Series : Information Sciences : Volume 52
Science in China Series : Information Sciences : Volume 51
Science in China Series : Information Sciences : Volume 50
Science in China Series : Information Sciences : Volume 49
Science in China Series : Information Sciences : Volume 48
Science in China Series : Information Sciences : Volume 47
Science in China Series : Information Sciences : Volume 46
Science in China Series : Information Sciences : Volume 45
Science in China Series : Information Sciences : Volume 44

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Adaptive variational models for image decomposition

Content Provider Springer Nature Link
Author Xu, JianLou Feng, XiangChu Hao, Yan Han, Yu
Copyright Year 2013
Abstract Image decomposition refers to the splitting of an image into two or more components. In this paper, a clean image is separated into two parts: one is the cartoon component, consisting only of geometric structure, and the other is the oscillatory component, consisting of texture. Three parts for noisy image are considered: cartoon, texture, and noise. To better decompose an image, we propose two new variational models. In our models, two adaptive regularization terms are introduced. The two regularization terms are determined by an adaptive function which can discriminate the cartoon and texture of an image automatically. Experimental results illustrate the effectiveness of the proposed models for image decomposition.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISSN 1674733X
Journal Science in China Series : Information Sciences
Volume Number 57
Issue Number 2
e-ISSN 18691919
Language English
Publisher Science China Press
Publisher Date 2013-01-07
Publisher Place Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword total variation image decomposition cartoon texture Information Systems and Communication Service
Content Type Text
Resource Type Article
Subject Computer Science
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