Handbook of Optical Coherence Tomography 2001
DOI: 10.1201/b14024-8
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Speckle Reduction Techniques

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Cited by 7 publications
(4 citation statements)
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“…Several techniques have been introduced to reduce speckle noise, mainly based on spatial compounding [11][12][13] or on digital signal-processing algorithms. 14 The concept of wavelength compounding was first introduced in the field of OCT by Schmitt et al 11 However, this method was restricted to compounding of wavelengths contained within the emission spectrum of a single light source, which, as a consequence, reduced longitudinal spatial resolution, a disadvantage that prevented its widespread use in OCT. In this paper we introduce an alternative approach using a frequency compounding-based speckle reduction technique.…”
Section: Introductionmentioning
confidence: 99%
“…Several techniques have been introduced to reduce speckle noise, mainly based on spatial compounding [11][12][13] or on digital signal-processing algorithms. 14 The concept of wavelength compounding was first introduced in the field of OCT by Schmitt et al 11 However, this method was restricted to compounding of wavelengths contained within the emission spectrum of a single light source, which, as a consequence, reduced longitudinal spatial resolution, a disadvantage that prevented its widespread use in OCT. In this paper we introduce an alternative approach using a frequency compounding-based speckle reduction technique.…”
Section: Introductionmentioning
confidence: 99%
“…This was defined as the ratio of the magnitude of the initial surface peak over the second 2 nd (DEJ) peak. Various imaging analysis methods have been developed for enhancing structures and edges, speckle reduction and denoising OCT images [14–16]. Last year we demonstrated that image processing methods can further improve the visibility of subsurface occlusal lesions [17].…”
Section: Introductionmentioning
confidence: 99%
“…Various imaging analysis methods have been developed for enhancing structures and edges, speckle reduction and denoising OCT images [15-17]. The Rotating Kernel Transformation (RKT) is one approach that has been successful for edge detection in OCT images [18-21].…”
Section: Introductionmentioning
confidence: 99%