Title :
Fractal convolution techniques for speckle noise reduction
Author :
Martínez-Rojas, Juan-Antonio ; Sánchez-Montero, Rocío ; Alpuente-Hermosilla, Jesús ; López-Espí, Pablo
Author_Institution :
Signal Theor. & Commun. Dept., Univ. de Alcala, Alcala de Henare
Abstract :
Speckle noise reduction techniques are very important for the enhancement and preprocessing of SAR and many medical images. We present a fast and efficient algorithm, based on fractal convolutions, to reduce speckle noise in real SAR images. The results of this approach are compared with other classical noise reduction techniques.
Keywords :
biomedical imaging; convolution; radar imaging; signal denoising; synthetic aperture radar; SAR images; fractal convolution techniques; medical images; radar enhancement; radar preprocessing; Biomedical imaging; Convolution; Filtering algorithms; Filters; Fractals; Histograms; Image processing; Noise reduction; Pixel; Speckle;
Conference_Titel :
Radar Conference, 2008. EuRAD 2008. European
Conference_Location :
Amsterdam
Print_ISBN :
978-2-87487-009-5
