Modified compressive sensing optical coherence tomography with noise reduction.
We study noise reduction using modified compressive sensing optical coherence tomography. We show that averaged modified compressed sensing (CS) reconstruction achieves better image quality in terms of signal-to-noise ratio, local contrast, and contrast-to-noise ratio, compared to the classical averaging method while reducing the total amount of data required to reconstruct the images. The same is also true when compared with standard CS-based averaging method with the same amount of undersampled data.
Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, Maryland 21218, USA. dxu5@jhu.edu
Daguang
D
Xu
Namrata
N
Vaswani
Yong
Y
Huang
Jin U
JU
Kang
D007089:Image Enhancement / Q000379:methods*; D019047:Phantoms, Imaging; D041623:Tomography, Optical Coherence / Q000379:methods*