Speckle attenuation in optical coherence tomography by curvelet shrinkage.
We describe an algorithm based on shrinkage in the curvelet domain to attenuate speckles in optical coherence tomography (OCT) images. The algorithm exploits the curvelet transform's sparse representation of edge discontinuities that are common in OCT images and its ability to map signals and noise into different areas in the curvelet domain. The speckle attenuation is controlled by a single parameter that determines the threshold in the curvelet domain. Applying the algorithm to OCT images shows significant improvement of image quality.
Jian
Zhongping
Z
Beckman Laser Institute, University of California, Irvine, California 92612, USA. zjian@uci.edu
Yu
Zhaoxia
Z
Yu
Lingfeng
L
Rao
Bin
B
Chen
Zhongping
Z
Tromberg
Bruce J
BJ
D000465:Algorithms; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D041623:Tomography, Optical Coherence / Q000379:methods* / Q000592:standards