Adaptive Real-Time Removal of Impulse Noise in Medical Images.

HosseinKhani, Zohreh; Hajabdollahi, Mohsen; Karimi, Nader; Soroushmehr, Reza; Shirani, Shahram; Najarian, Kayvan; Samavi, Shadrokh

HosseinKhani, Zohreh; Hajabdollahi, Mohsen; Karimi, Nader; Soroushmehr, Reza; Shirani, Shahram; Najarian, Kayvan; Samavi, Shadrokh.

Afiliación

HosseinKhani Z; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Hajabdollahi M; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Karimi N; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Soroushmehr R; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, 48109, USA. ssoroush@umich.edu.
Shirani S; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA. ssoroush@umich.edu.
Najarian K; Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, L8S 4L8, Canada.
Samavi S; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, 48109, USA.

J Med Syst ; 42(11): 216, 2018 Oct 02.

Article en En | MEDLINE | ID: mdl-30280264

Asunto(s)

Diagnóstico por Imagen; Aumento de la Imagen; Algoritmos; Color

Palabras clave

Hardware implementation; Impulse noise; Low complexity; Medical image restoration; Salt and pepper noise

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diagnóstico por Imagen / Aumento de la Imagen Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Med Syst Año: 2018 Tipo del documento: Article País de afiliación: Irán

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