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19 papers · 1 filter
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo
We propose a new fast algorithm for solving one of the standard approaches to ill-posed linear inverse problems (IPLIP), where a (possibly non-smooth) regularizer is minimized unde…
Neptune Trojans and Plutinos: colors, sizes, dynamics, and their possible collisions
A. J. C. Almeida, N. Peixinho, A. C. M. Correia
Neptune Trojans and Plutinos are two subpopulations of trans-Neptunian objects located in the 1:1 and the 3:2 mean motion resonances with Neptune, respectively, and therefore prote…
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
José M. Bioucas-Dias, Mário A. T. Figueiredo
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser…
Characterizations of one-way general quantum finite automata
Lvzhou Li, Daowen Qiu, Xiangfu Zou +3
In this paper we study a generalized model named one-way general quantum finite automata} (1gQFA), in which each symbol in the input alphabet induces a trace-preserving quantum ope…
Fast Image Recovery Using Variable Splitting and Constrained Optimization
Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo
We propose a new fast algorithm for solving one of the standard formulations of image restoration and reconstruction which consists of an unconstrained optimization problem where t…
A Fast Algorithm for the Constrained Formulation of Compressive Image Reconstruction and Other Linear Inverse Problems
Manya V. Afonso, Jose M. Bioucas-Dias, Mario A. T. Figueiredo
Ill-posed linear inverse problems (ILIP), such as restoration and reconstruction, are a core topic of signal/image processing. A standard approach to deal with ILIP uses a constrai…