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Proceedings Paper

Wavelet denoising of multiframe optical coherence tomography data using correlation analysis
Author(s): Wajiha Habib; Adil Masood Siddiqui; Imran Touqir
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Paper Abstract

A new wavelet based algorithm for performing denoising of multiple frame Optical Coherence Tomography (OCT) data is proposed. The method is based on the assumption that noise between frames is uncorrelated. By comparing multiple frames using an appropriate similarity measure we can distinguish between unwanted noise and image features. Two similarity measures are used for weighting wavelet coefficients of each frame. Final denoised image is constructed from weighted and averaged frames. Quantitative and qualitative analysis reveal the superiority of proposed algorithm over existing denoising approaches.

Paper Details

Date Published: 19 November 2013
PDF: 11 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220H (19 November 2013); doi: 10.1117/12.2034302
Show Author Affiliations
Wajiha Habib, National Univ. of Sciences and Technology (Pakistan)
Adil Masood Siddiqui, National Univ. of Sciences and Technology (Pakistan)
Imran Touqir, National Univ. of Sciences and Technology (Pakistan)


Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

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