Abstract
We propose and study an iterative sparse reconstruction for Fourier domain
optical coherence tomography (FD OCT) image by solving a constrained optimization
problem that minimizes L-1 norm. Our method takes the spectral shape of the OCT
light source into consideration in the iterative image reconstruction procedure that
allows deconvolution of the axial point spread function from the blurred image
during reconstruction rather than after reconstruction. By minimizing the L-1 norm,
the axial resolution and the signal to noise ratio of image can both be enhanced.
The effectiveness of our method is validated using numerical simulation and
experiment.
© 2014 Chinese Optics Letters
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