Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter
Optics Letters, Vol. 29, Issue 24, pp. 2878-2880 (2004)
http://dx.doi.org/10.1364/OL.29.002878
Acrobat PDF (1149 KB)
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% .
© 2004 Optical Society of America
OCIS Codes
(100.2980) Image processing : Image enhancement
(100.7410) Image processing : Wavelets
(110.4500) Imaging systems : Optical coherence tomography
Citation
Desmond C. Adler, Tony H. Ko, and James G. Fujimoto, "Speckle reduction in optical coherence tomography images by use of
a spatially adaptive wavelet filter," Opt. Lett. 29, 2878-2880 (2004)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-29-24-2878
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription





OSA is a member of 