title: Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter.
abstract: A spatially adaptive two-dimensional wavelet filter is used to reduce speckle noise in time-domain and Fourier-domain optical coherence tomography (OCT) images. Edges can be separated from discontinuities that are due to noise, and noise power can be attenuated in the wavelet domain without significantly compromising image sharpness. A single parameter controls the degree of noise reduction. When this filter is applied to ophthalmic OCT images, signal-to-noise ratio improvements of >7 dB are attained, with a sharpness reduction of <3%.
authors.affiliation: Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
authors.forename: Desmond C
authors.initials: DC
authors.lastname: Adler
authors.forename: Tony H
authors.initials: TH
authors.lastname: Ko
authors.forename: James G
authors.initials: JG
authors.lastname: Fujimoto
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D005240:Feasibility Studies; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012160:Retina / Q000166:cytology*; D012680:Sensitivity and Specificity; D041623:Tomography, Optical Coherence / Q000295:instrumentation / Q000379:methods*