Sistema misto reconfigurável aplicado à Interface PCI para Otimização do Algoritmo Non-local Means

Detalhes bibliográficos
Ano de defesa: 2012
Autor(a) principal: Marques, Daniel Soares e
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal da Paraí­ba
BR
Informática
Programa de Pós-Graduação em Informática
UFPB
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/6075
Resumo: The digital image processing field is continually evolving and, although the diverse application areas, the commonly problems found converge to methods capable to improve visual information for analysis and interpretation. A major limitation issue on image precision is noise, which is defined as a perturbation in the image. The Non-Local Means (NLM) method stands out as the state-of-the-art of digital image denoising filtering. However, its computational complexity is an obstacle to make it practical on general purpose computing applications. This work presents a computer system implementation, developed with parts implemented in software and hardware applied to PCI, to optimize the NLM algorithm using hardware acceleration techniques, allowing a greater efficiency than is normally provided by general use processors. The use of reconfigurable computing helped in developing the hardware system, providing the modification of the described circuit in its use environment, accelerating the project implementation. Using an FPGA prototyping kit for PCI, dedicated to perform the dedicated calculation of the Squared Weighted Euclidean Distance, the results obtained show a gain of up to 3.5 times greater than the compared optimization approaches, also maintaining the visual quality of the denoising filtering.