IEEE Trans Image Process - Enhancement of coupled multichannel images using sparsity constraints.

Tópicos

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Resumo

We consider the problem of joint enhancement of multichannel images with pixel based constraints on the multichannel data. Previous work by Cetin and Karl introduced nonquadratic regularization methods for SAR image enhancement using sparsity enforcing penalty terms. We formulate an optimization problem that jointly enhances complex-valued multichannel images while preserving the cross-channel information, which we include as constraints tying the multichannel images together. We pose this problem as a joint optimization problem with constraints. We first reformulate it as an equivalent (unconstrained) dual problem and develop a numerically-efficient method for solving it. We develop the Dual Descent method, which has low complexity, for solving the joint optimization problem. The algorithm is applied to both an interferometric synthetic aperture radar (IFSAR) problem, in which the relative phase between two complex-valued images indicate height, and to a synthetic multimodal medical image example.

Resumo Limpo

consid problem joint enhanc multichannel imag pixel base constraint multichannel data previous work cetin karl introduc nonquadrat regular method sar imag enhanc use sparsiti enforc penalti term formul optim problem joint enhanc complexvalu multichannel imag preserv crosschannel inform includ constraint tie multichannel imag togeth pose problem joint optim problem constraint first reformul equival unconstrain dual problem develop numericallyeffici method solv develop dual descent method low complex solv joint optim problem algorithm appli interferometr synthet apertur radar ifsar problem relat phase two complexvalu imag indic height synthet multimod medic imag exampl

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