Enhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering

Simple item page
dc.contributor.authorSudeep, P.V.
dc.contributor.authorIssac Niwas, S.
dc.contributor.authorPonnusamy, P.
dc.contributor.authorRajan, J.
dc.contributor.authorXiaojun, Y.
dc.contributor.authorWang, X.
dc.contributor.authorLuo, Y.
dc.contributor.authorLiu, L.
dc.date.accessioned2026-02-05T09:33:14Z
dc.date.issued2016
dc.description.abstractOptical coherence tomography (OCT) has continually evolved and expanded as one of the most valuable routine tests in ophthalmology. However, noise (speckle) in the acquired images causes quality degradation of OCT images and makes it difficult to analyze the acquired images. In this paper, an iterative approach based on bilateral filtering is proposed for speckle reduction in multiframe OCT data. Gamma noise model is assumed for the observed OCT image. First, the adaptive version of the conventional bilateral filter is applied to enhance the multiframe OCT data and then the bias due to noise is reduced from each of the filtered frames. These unbiased filtered frames are then refined using an iterative approach. Finally, these refined frames are averaged to produce the denoised OCT image. Experimental results on phantom images and real OCT retinal images demonstrate the effectiveness of the proposed filter. © 2016 Elsevier Ltd.
dc.identifier.citationComputers in Biology and Medicine, 2016, 71, , pp. 97-107
dc.identifier.issn104825
dc.identifier.urihttps://doi.org/10.1016/j.compbiomed.2016.02.003
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/26036
dc.publisherElsevier Ltd
dc.subjectAdaptive optics
dc.subjectImage acquisition
dc.subjectImage enhancement
dc.subjectMaximum likelihood
dc.subjectMaximum likelihood estimation
dc.subjectNonlinear filtering
dc.subjectOphthalmology
dc.subjectOptical tomography
dc.subjectSpeckle
dc.subjectTomography
dc.subjectAdaptive bilateral filtering
dc.subjectAdaptive versions
dc.subjectBilateral filtering
dc.subjectDe-noising
dc.subjectIterative approach
dc.subjectQuality degradation
dc.subjectSpeckle noise
dc.subjectSpeckle reduction
dc.subjectAdaptive filters
dc.subjectArticle
dc.subjectbilateral filtering
dc.subjectcontrolled study
dc.subjectdensity functional theory
dc.subjectimage processing
dc.subjectmathematical parameters
dc.subjectmaximum likelihood method
dc.subjectnoise reduction
dc.subjectnonhuman
dc.subjectoptical coherence tomography
dc.subjectpriority journal
dc.subjectquantitative analysis
dc.subjectretina image
dc.subjectspeckle noise
dc.subjectdevices
dc.subjecthuman
dc.subjectimaging phantom
dc.subjectprocedures
dc.subjectsignal noise ratio
dc.subjecttheoretical model
dc.subjectHumans
dc.subjectImage Processing, Computer-Assisted
dc.subjectModels, Theoretical
dc.subjectPhantoms, Imaging
dc.subjectSignal-To-Noise Ratio
dc.subjectTomography, Optical Coherence
dc.titleEnhancement and bias removal of optical coherence tomography images: An iterative approach with adaptive bilateral filtering

Files

Collections

Journal Articles