publications: - title: "Optical Flow Estimation Using Total Least Squares Variants" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2017" month: "09" doi: "10.13005/ojcst/10.03.03" abstract: "The problem of recursively approximating motion resulting from the Optical Flow (OF) in video thru Total Least Squares (TLS) techniques is addressed. TLS method solves an inconsistent system Gu=z , with G and z in error due to temporal/spatial derivatives, and nonlinearity, while the Ordinary Least Squares (OLS) model has noise only in z. Sources of difficulty involve the non-stationarity of the field, the ill-posedness, and the existence of noise in the data. Three ways of applying the TLS with different noise conjectures to the end problem are observed. First, the classical TLS (cTLS) is introduced, where the entries of the error matrices of each row of the augmented matrix [G;z] have zero mean and the same standard deviation. Next, the Generalized Total Least Squares (GTLS) is defined to provide a more stable solution, but it still has some problems. The Generalized Scaled TLS (GSTLS) has G and z tainted by different sources of additive zero-mean Gaussian noise and scaling [G;z] by nonsingular D and E, that is, D[G;z]E makes the errors iid with zero mean and a diagonal covariance matrix. The scaling is computed from some knowledge on the error distribution to improve the GTLS estimate. For moderate levels of additive noise, GSTLS outperforms the OLS, and the GTLS approaches. Although any TLS variant requires more computations than the OLS, it is still applicable with proper scaling of the data matrix." researchr: "https://researchr.org/publication/de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2017" cites: 39 citedby: 2 journal: "Oriental Journal of Computer Science and Technology" volume: "10" number: "3" kind: "article" key: "de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2017" - title: "Optical Flow Estimation Using Total Least Squares Variants" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2017" month: "09" doi: "10.13005/ojcst/10.03.03" abstract: "The problem of recursively approximating motion resulting from the Optical Flow (OF) in video thru Total Least Squares (TLS) techniques is addressed. TLS method solves an inconsistent system Gu=z , with G and z in error due to temporal/spatial derivatives, and nonlinearity, while the Ordinary Least Squares (OLS) model has noise only in z. Sources of difficulty involve the non-stationarity of the field, the ill-posedness, and the existence of noise in the data. Three ways of applying the TLS with different noise conjectures to the end problem are observed. First, the classical TLS (cTLS) is introduced, where the entries of the error matrices of each row of the augmented matrix [G;z] have zero mean and the same standard deviation. Next, the Generalized Total Least Squares (GTLS) is defined to provide a more stable solution, but it still has some problems. The Generalized Scaled TLS (GSTLS) has G and z tainted by different sources of additive zero-mean Gaussian noise and scaling [G;z] by nonsingular D and E, that is, D[G;z]E makes the errors iid with zero mean and a diagonal covariance matrix. The scaling is computed from some knowledge on the error distribution to improve the GTLS estimate. For moderate levels of additive noise, GSTLS outperforms the OLS, and the GTLS approaches. Although any TLS variant requires more computations than the OLS, it is still applicable with proper scaling of the data matrix." researchr: "https://researchr.org/publication/de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2017" cites: 39 citedby: 2 journal: "Oriental Journal of Computer Science and Technology" volume: "10" number: "3" kind: "article" key: "de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2017" - title: "Optical Flow Estimation Using Total Least Squares Variants" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2017" month: "09" doi: "10.13005/ojcst/10.03.03" abstract: "The problem of recursively approximating motion resulting from the Optical Flow (OF) in video thru Total Least Squares (TLS) techniques is addressed. TLS method solves an inconsistent system Gu=z , with G and z in error due to temporal/spatial derivatives, and nonlinearity, while the Ordinary Least Squares (OLS) model has noise only in z. Sources of difficulty involve the non-stationarity of the field, the ill-posedness, and the existence of noise in the data. Three ways of applying the TLS with different noise conjectures to the end problem are observed. First, the classical TLS (cTLS) is introduced, where the entries of the error matrices of each row of the augmented matrix [G;z] have zero mean and the same standard deviation. Next, the Generalized Total Least Squares (GTLS) is defined to provide a more stable solution, but it still has some problems. The Generalized Scaled TLS (GSTLS) has G and z tainted by different sources of additive zero-mean Gaussian noise and scaling [G;z] by nonsingular D and E, that is, D[G;z]E makes the errors iid with zero mean and a diagonal covariance matrix. The scaling is computed from some knowledge on the error distribution to improve the GTLS estimate. For moderate levels of additive noise, GSTLS outperforms the OLS, and the GTLS approaches. Although any TLS variant requires more computations than the OLS, it is still applicable with proper scaling of the data matrix." researchr: "https://researchr.org/publication/de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2017" cites: 39 citedby: 2 journal: "Oriental Journal of Computer Science and Technology" volume: "10" number: "3" kind: "article" key: "de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2017" - title: "An Introduction to Data Mining Applied to Health-Oriented Databases" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2016" month: "December" doi: "10.13005/ojcst/09.03.03" abstract: "The application of data mining (DM) in healthcare is increasing. Healthcare organizations generate and collect large voluminous and heterogeneous information daily and DM helps to uncover some interesting patterns, which leads to the manual tasks elimination, easy data extraction directly from records, to save lives, to reduce the cost of medical services and to enable early detection of diseases. These patterns can help healthcare specialists to make forecasts, put diagnoses, and set treatments for patients in health facilities. This work overviews DM methods and main issues. Three case studies illustrate DM in healthcare applications: (i) In-Vitro Fertilization; (ii) Content-Based Image Retrieval (CBIR); and (iii) Organ transplantation." tags: - "Content-Based Image Retrieval" - "Health-Oriented Databases" - "pattern recognition" - "data mining" - "Patient monitoring" - "image processing" - "Computer vision" - "CBIR" researchr: "https://researchr.org/publication/de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2016" cites: 17 citedby: 1 journal: "Oriental Journal Computer Science and Technology" volume: "9" number: "3" kind: "article" key: "de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2016" - title: "Super-Resolution in a Nutshell" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "Vania Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "Vania Vieira Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "Vania Vieira Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "Osamu Saotome" link: "http://academic.research.microsoft.com/Author/3476641/osamu-saotome?query=osamu%20saotome" - name: "others" link: "https://researchr.org/alias/others" year: "2016" researchr: "https://researchr.org/publication/de2016super" cites: 0 citedby: 0 booktitle: "Proceedings of the 2016 Brazilian Technology Symposium (BTSym 16)" organization: "UNICAMP, ISSN 2447-8326" publisher: "UNICAMP" kind: "inproceedings" key: "de2016super" - title: "Biologically Rationalized Computing Techniques For Image Processing Applications" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Osamu Saotome" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4780730Y6" - name: "Osamu Saotome" link: "http://academic.research.microsoft.com/Author/3476641/osamu-saotome?query=osamu%20saotome" - name: "Dalmo Stutz" link: "https://www.researchgate.net/profile/Dalmo_Stutz" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "others" link: "https://researchr.org/alias/others" year: "2017" doi: "https://doi.org/10.1007/978-3-319-61316-1_14" abstract: "Super-resolution (SR) reconstructs a high-resolution (HR) image from a set of low-resolution (LR) pictures and restores an HR video from a group of neighboring LR frames. Optimization tries to overcome the image acquisition limitations, the ill-posed nature of the SR problem, to facilitate content visualization and scene recognition. Particle swarm optimization (PSO) is a superb optimization algorithm used for all sorts of problems despite its tendency to be stuck in local minima. To handle ill-posedness, different PSO variants (hybrid versions) have been proposed trying to explore factors such as the initialization of the swarm, insertion of a constriction coefficient, mutation operators, and the use of an inertia weight. Hybridization involves combining two (or more) techniques wisely such that the resultant algorithm contains the good characteristics of both (or all) the methods. Interesting hybridization techniques include many local and global search approaches. Results for the SR reconstruction of still and video images are presented for the PSO and the HPSO algorithms." links: doi: "https://doi.org/10.1007/978-3-319-61316-1_14" researchr: "https://researchr.org/publication/de2018super" cites: 44 citedby: 0 pages: "317-337" booktitle: "Biologically Rationalized Computing Techniques For Image Processing Applications" volume: "25" publisher: "Lecture Notes in Computational Vision and Biomechanics (LNCVB), Springer Cham, Online ISBN 978-3-319-61316-1, Print ISBN 978-3-319-61315-4, doi: 10.1007/978-3-319-61316-1\\_14, https://link.springer.com/chapter/10.1007/978-3-319-61316-1\\_14" kind: "incollection" key: "de2018super" - title: "An Introduction to Data Mining Applied to Health-Oriented Databases" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2016" month: "December" doi: "10.13005/ojcst/09.03.03" abstract: "The application of data mining (DM) in healthcare is increasing. Healthcare organizations generate and collect large voluminous and heterogeneous information daily and DM helps to uncover some interesting patterns, which leads to the manual tasks elimination, easy data extraction directly from records, to save lives, to reduce the cost of medical services and to enable early detection of diseases. These patterns can help healthcare specialists to make forecasts, put diagnoses, and set treatments for patients in health facilities. This work overviews DM methods and main issues. Three case studies illustrate DM in healthcare applications: (i) In-Vitro Fertilization; (ii) Content-Based Image Retrieval (CBIR); and (iii) Organ transplantation." tags: - "Content-Based Image Retrieval" - "Health-Oriented Databases" - "pattern recognition" - "data mining" - "Patient monitoring" - "image processing" - "Computer vision" - "CBIR" researchr: "https://researchr.org/publication/de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2016" cites: 17 citedby: 1 journal: "Oriental Journal Computer Science and Technology" volume: "9" number: "3" kind: "article" key: "de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2016" - title: "An Introduction to Data Mining Applied to Health-Oriented Databases" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2016" month: "December" doi: "10.13005/ojcst/09.03.03" abstract: "The application of data mining (DM) in healthcare is increasing. Healthcare organizations generate and collect large voluminous and heterogeneous information daily and DM helps to uncover some interesting patterns, which leads to the manual tasks elimination, easy data extraction directly from records, to save lives, to reduce the cost of medical services and to enable early detection of diseases. These patterns can help healthcare specialists to make forecasts, put diagnoses, and set treatments for patients in health facilities. This work overviews DM methods and main issues. Three case studies illustrate DM in healthcare applications: (i) In-Vitro Fertilization; (ii) Content-Based Image Retrieval (CBIR); and (iii) Organ transplantation." tags: - "Content-Based Image Retrieval" - "Health-Oriented Databases" - "pattern recognition" - "data mining" - "Patient monitoring" - "image processing" - "Computer vision" - "CBIR" researchr: "https://researchr.org/publication/de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2016" cites: 17 citedby: 1 journal: "Oriental Journal Computer Science and Technology" volume: "9" number: "3" kind: "article" key: "de-JesusEstrelaEstrelaEstrelade-Jesusde-JesusEstrelaEstrela2016" - title: "Biologically Rationalized Computing Techniques For Image Processing Applications" author: - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Maria Aparecida de Jesus" link: "https://orcid.org/0000-0001-6428-9438" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Osamu Saotome" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4780730Y6" - name: "Osamu Saotome" link: "http://academic.research.microsoft.com/Author/3476641/osamu-saotome?query=osamu%20saotome" - name: "Dalmo Stutz" link: "https://www.researchgate.net/profile/Dalmo_Stutz" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" - name: "Vania Vieira Estrela" link: "http://scholar.google.com/citations?user=-ZbglqgAAAAJ&hl=en" - name: "others" link: "https://researchr.org/alias/others" year: "2017" doi: "https://doi.org/10.1007/978-3-319-61316-1_14" abstract: "Super-resolution (SR) reconstructs a high-resolution (HR) image from a set of low-resolution (LR) pictures and restores an HR video from a group of neighboring LR frames. Optimization tries to overcome the image acquisition limitations, the ill-posed nature of the SR problem, to facilitate content visualization and scene recognition. Particle swarm optimization (PSO) is a superb optimization algorithm used for all sorts of problems despite its tendency to be stuck in local minima. To handle ill-posedness, different PSO variants (hybrid versions) have been proposed trying to explore factors such as the initialization of the swarm, insertion of a constriction coefficient, mutation operators, and the use of an inertia weight. Hybridization involves combining two (or more) techniques wisely such that the resultant algorithm contains the good characteristics of both (or all) the methods. Interesting hybridization techniques include many local and global search approaches. Results for the SR reconstruction of still and video images are presented for the PSO and the HPSO algorithms." links: doi: "https://doi.org/10.1007/978-3-319-61316-1_14" researchr: "https://researchr.org/publication/de2018super" cites: 44 citedby: 0 pages: "317-337" booktitle: "Biologically Rationalized Computing Techniques For Image Processing Applications" volume: "25" publisher: "Lecture Notes in Computational Vision and Biomechanics (LNCVB), Springer Cham, Online ISBN 978-3-319-61316-1, Print ISBN 978-3-319-61315-4, doi: 10.1007/978-3-319-61316-1\\_14, https://link.springer.com/chapter/10.1007/978-3-319-61316-1\\_14" kind: "incollection" key: "de2018super"