title: Speckle reduction based on Wiener filter in ultrasound images.
abstract: In this manuscript, a technique for speckle noise reduction in ultrasound images is presented. The method exploits Wiener filter and is able to take into account spatial correlation among noise samples. With respect to classical Wiener filter approach developed in independence hypothesis, the methodology is able to sensibly improve filtering performances, at the cost of no computational time increase. Results on realistic simulated datasets are reported, showing the effectiveness of the approach.
authors.forename: Fabio
authors.initials: F
authors.lastname: Baselice
authors.forename: Giampaolo
authors.initials: G
authors.lastname: Ferraioli
authors.forename: Angel Caroline
authors.initials: AC
authors.lastname: Johnsy
authors.forename: Vito
authors.initials: V
authors.lastname: Pascazio
authors.forename: Gilda
authors.initials: G
authors.lastname: Schirinzi
mesh_terms: D000465:Algorithms; D002138:Calibration; D016208:Databases, Factual; D005583:Fourier Analysis; D019220:High-Energy Shock Waves; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D009622:Noise; D019047:Phantoms, Imaging; D011336:Probability; D012815:Signal Processing, Computer-Assisted; D012984:Software; D014465:Ultrasonics; D014463:Ultrasonography