SIBGRAPI Digital Library Archive
1995 accepted paper update form
The submission system will allow any upgrade until December 27th, 2013.
If you have any question, please contact:
Don't forget to press the "+" button to enter the co-author data, if any.
This paper analyses the proposal for a new reconstructor called Normalized Sampled Finite Sinc Reconstructor NSFSR different from the zero order reconstructor ZOR to avoid the jaggie effect. The proposed reconstructor has behavior more similar to the ideal reconstructor used in the original sampling theorem. Some tests were done in space and frequency domain comparing this reconstructor with the ZOR. The conclusion is that the RSFAN IS MUCH BETTER THAN THE ZOR. Studies and improvements should be done, but the results so far are very expressive and promising.
Síntese de Imagens
Reconhecimento de Padrões
Visualização de Dados
Visão por Computador
Aplicações em Medicina
Modelagem e Visualização
Animação e Multimídia
Processamento de Imagens
Previous Lower Units
:: Powered by UR