Enhancement of Coupled Multichannel Images Using Sparsity Constraints

We consider the problem of joint enhancement of multichannel images with pixel based constraints on the multichannel data. Previous work by Çetin and Karl introduced nonquadratic regularization methods for SAR image enhancement using sparsity enforcing penalty terms. We formulate an optimization pr...

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Veröffentlicht in:	IEEE transactions on image processing 2010-08, Vol.19 (8), p.2115-2126
Hauptverfasser:	Ramakrishnan, Naveen, Ertin, Emre, Moses, Randolph L
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Biological and medical sciences Biomedical imaging Color Computerized, statistical medical data processing and models in biomedicine Constraint optimization Deconvolution Detection, estimation, filtering, equalization, prediction Equivalence Exact sciences and technology Frequency Hyperspectral imaging Image enhancement Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Information, signal and communications theory Interferometric synthetic aperture radar Interferometric synthetic aperture radar (IFSAR) Layout Magnetic resonance imaging Mathematical models medical imaging Medical management aid. Diagnosis aid Medical sciences Multichannel multichannel images nonquadratic regularization Numerical Analysis, Computer-Assisted Optimization Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal resolution Signal, noise Subtraction Technique Synthetic aperture radar Synthetic aperture radar interferometry Telecommunications and information theory
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