2008
DOI: 10.1364/josaa.26.000072
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Deconvolution methods for image deblurring in optical coherence tomography

Abstract: Two-dimensional deconvolution methods are proposed to deblur optical coherence tomography images. One employs a two-dimensional deconvolution with a matrix given by the product of the longitudinal and transversal point-spread functions as its kernel, which can be taken as the general point-spread function of an optical coherence tomography system. The other uses two one-dimensional deconvolutions with the longitudinal and transversal point-spread functions successively. It is shown that the two deconvolution m… Show more

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Cited by 70 publications
(43 citation statements)
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“…To achieve higher and more uniform lateral resolution without image processing, a higher numerical aperture objective can be used along with dynamic focus tracking throughout the penetration depth. 2 Alternatively, image-processing techniques, such as deconvolution 3,4 and inverse scattering, 5 can be used to improve lateral resolution. Additionally, recently a Gabor-based fusion technique demonstrated 2-μm lateral resolution.…”
Section: Introductionmentioning
confidence: 99%
“…To achieve higher and more uniform lateral resolution without image processing, a higher numerical aperture objective can be used along with dynamic focus tracking throughout the penetration depth. 2 Alternatively, image-processing techniques, such as deconvolution 3,4 and inverse scattering, 5 can be used to improve lateral resolution. Additionally, recently a Gabor-based fusion technique demonstrated 2-μm lateral resolution.…”
Section: Introductionmentioning
confidence: 99%
“…(7)]. Liu et al [46] reported twodimensional deconvolution methods to deblur OCT images. Recently, Liu et al [38] reported on the use of an auto-regressive-moving-average spectral analysis technique for obtaining axial super-resolution of the OCT signal.…”
Section: Discussionmentioning
confidence: 99%
“…The deconvolution algorithms for enhancing the spatial resolution and/or the signal-tonoise ratio (SNR) have been widely studied in various imaging modalities such as X-ray imaging [25], ultrasound imaging [26,27], and optical coherence tomography [28,29]. Deconvolution approaches have recently been investigated in PA imaging in ORPAM and PA computed tomography systems [18,[30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%