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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Projections onto convex sets parameter estimation through harmony search and its application for image restoration

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Pires, Rafael G. ; Pereira, Danillo R. ; Pereira, Luis A. M. ; Mansano, Alex F. ; Papa, Joo P.
Total Authors: 5
Document type: Journal article
Source: NATURAL COMPUTING; v. 15, n. 3, SI, p. 493-502, SEP 2016.
Web of Science Citations: 3

Image restoration is a research field that attempts to recover a blurred and noisy image. Although we have one-step algorithms that are often fast for image restoration, iterative formulations allow a better control of the trade-off between the enhancement of high frequencies (image details) and noise amplification. Projections onto convex sets (POCS) is an iterative-and parametric-based approach that employs a priori knowledge about the blurred image to guide the restoration process, with promising results in different application domains. However, a proper choice of its parameters is a high computational burden task, since they are continuous-valued and there are an infinity of possible values to be checked. In this paper, we propose to optimize POCS parameters by means of harmony search-based techniques, since they provide elegant and simple formulations for optimization problems. The proposed approach has been validated in synthetic and real images, being able to select suitable parameters in a reasonable amount of time. (AU)

FAPESP's process: 14/16250-9 - On the parameter optimization in machine learning techniques: advances and paradigms
Grantee:João Paulo Papa
Support type: Regular Research Grants
FAPESP's process: 13/20387-7 - Hyperparameter optimization in deep learning arquitectures
Grantee:João Paulo Papa
Support type: Scholarships abroad - Research
FAPESP's process: 09/16206-1 - New trends on optimum-path forest-based pattern recognition
Grantee:João Paulo Papa
Support type: Research Grants - Young Investigators Grants
FAPESP's process: 11/14094-1 - Exploring Multi-labeling approaches by Optimum-Path Forest
Grantee:Luis Augusto Martins Pereira
Support type: Scholarships in Brazil - Master