C Conferentia Proceedings
CILAMCE2017-1229 COMPUTATIONAL METHODS FOR IMAGE PROCESSING AND ANALYSIS

Methods for astronomical image restoration

Ana Paula Abranches de Castro e Shiguemori1; Elcio H. Shiguemori2; Murilo da Silva Dantas1; Alice Kozakewicius3; Vinicius Monego3; Renata Sampaio da Rocha Ruiz4; Cristiano Strieder4; Haroldo Fraga de Campos Velho4

1 IFECT Sao Jose dos Campos; 2 DCTA; 3 UFSM; 4 INPE

doi:10.20906/CPS/CILAMCE2017-1229

Resumo

Image restoration is a kind of inverse problem of great relevance. It is one of the most important topic in image processing on space applications. Remote sensing and autonomous navigation by images are typical applications. Another important application is in astronomy. The focus of this paper is the evaluation of different restoration techniques based on truncated singular value decomposition, Tikhonov regularization method, neural network restoration, and wavelet filtering. The image restoration techniques are applied in astronomical images of planets of the solar system and from solar activity.

Palavras-chave: Image restoration; Astronomical images; Inverse problem

Como citar

Ana Paula Abranches de Castro e Shiguemori; Elcio H. Shiguemori; Murilo da Silva Dantas; Alice Kozakewicius; Vinicius Monego; Renata Sampaio da Rocha Ruiz; Cristiano Strieder; Haroldo Fraga de Campos Velho. “Methods for astronomical image restoration”. XXXVIII Ibero-Latin American Congress on Computational Methods in Engineering. CILAMCE2017. 2017. DOI: 10.20906/CPS/CILAMCE2017-1229