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6th Internet World Congress for Biomedical Sciences

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MEDICAL IMAGES RESTORATION BY ISOLATED NOISE SEQUENCES IDENTIFICATION

Gustavo Camps i Valls(1), Antonio J. Serrano López(2), Jesús Modia(3), José David Martín Guerrero(4), José Vicente Francés Víllora(5)
(1)Universitat de València - Burjassot, Valencia. Spain
(2)(3)Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain
(4)G.P.D.S. Departament d´Enginyeria Electrònica. Universitat de València - Burjassot. Spain
(5)Dpto. Ingenieria Electrónica. University of Valencia - Burjassot. Spain

[ABSTRACT] [INTRODUCTION] [SELECTIVE MEDIAN FILTER ALGORITHM] [RESULTS] [FIGURES] [DISCUSSION] [REFERENCES] [Discussion Board]
SELECTIVE MEDIAN FILTER ALGORITHM Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Active contours and medical imaging FIGURES
[Health Informatics]
Next: Neural  Networks for the Detection of EEG Arousal During Sleep.
[Medical Electronics & Engineering]
Next: Cardiopulmonary multimodal monitoring system for critically ill patients

RESULTS

To measure the error made in the reconstruction of the images, i.e. the differences among the original and reconstructed image, different functions and norms have been taken: the quadratic error (ECM), signal-to-noise ratio (SNR) and the laplacian metric (HIM). But far away from the mathematical measures of similarity or error that provide us these formulas, we can also have subjective approaches or of optic appreciation of the image. It is in this aspect where our algorithm has a better performance, since it eliminates the noise accurately

To measure the error made in the reconstruction of the images, i.e. the differences among the original and reconstructed image, different functions and norms have been taken: the quadratic error (ECM), signal-to-noise ratio (SNR) and the laplacian metric (HIM). But far away from the mathematical measures of similarity or error that provide us these formulas, we can also have subjective approaches or of optic appreciation of the image. It is in this aspect where our algorithm has a better performance, since it eliminates the noise accurately


Discussion Board
Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [SELECTIVE MEDIAN FILTER ALGORITHM] [RESULTS] [FIGURES] [DISCUSSION] [REFERENCES] [Discussion Board]

SELECTIVE MEDIAN FILTER ALGORITHM Previous: ACQUISITION AND ANALYSIS OF RR TEMPORAL SERIES FROM HOLTER RECORDINGS Previous: Active contours and medical imaging FIGURES
[Health Informatics]
Next: Neural  Networks for the Detection of EEG Arousal During Sleep.
[Medical Electronics & Engineering]
Next: Cardiopulmonary multimodal monitoring system for critically ill patients
Gustavo Camps i Valls, Antonio J. Serrano López, Jesús Modia, José David Martín Guerrero, José Vicente Francés Víllora
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