Adaptive filters evaluation for sharpness enhancement and noise removal

• Autores: Óscar García-Olalla Olivera, Diego García-Ordás, Maite García-Ordás, Laura Fernández Robles, Enrique Alegre Gutiérrez
• Localización: Actas de las XXXII Jornadas de Automática, Escuela Técnica Superior de Ingeniería, Univesidad de Sevilla: Sevilla, 7 al 9 de septiembre de 2011, 2011, ISBN 978-84-694-6454-0, pág. 55
• Idioma: inglés
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• Resumen

  • In this work, two adaptive filter algorithms for sharpness enhancement and noise removal have been evaluated. A modification to the Adaptive Bilateral Filter (ABF) method have been carried out using the difference of gaussians as the pixel classification algorithm. A metric comparison with adaptive Non lineal Complex Diffusion Filter (NCDF) algorithm has been applied using three methods: MSE (mean square error), ENL (equivalent number of looks) and CNR (Contrast to noise ratio). Results showed that the proposed modification outperforms all the others using the MSE, CNR and ENL (in light areas) criteria. However, the Adaptive NCDF obtains the best result in the dark areas of the image.