Dense sampled transmission matrix for high resolution angular spectrum imaging through turbid media via compressed sensing
(Conference Presentation)

Hwanchol Jang; Changhyeong Yoon; Wonshik Choi; Tae Joong Eom; Heung-No Lee

doi:10.1117/12.2212760

27 April 2016 Dense sampled transmission matrix for high resolution angular spectrum imaging through turbid media via compressed sensing (Conference Presentation)

Hwanchol Jang, Changhyeong Yoon, Wonshik Choi, Tae Joong Eom, Heung-No Lee

Author Affiliations +

Proceedings Volume 9717, Adaptive Optics and Wavefront Control for Biological Systems II; 971714 (2016) https://doi.org/10.1117/12.2212760
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

We provide an approach to improve the quality of image reconstruction in wide-field imaging through turbid media (WITM). In WITM, a calibration stage which measures the transmission matrix (TM), the set of responses of turbid medium to a set of plane waves with different incident angles, is preceded to the image recovery. Then, the TM is used for estimation of object image in image recovery stage. In this work, we aim to estimate highly resolved angular spectrum and use it for high quality image reconstruction. To this end, we propose to perform a dense sampling for TM measurement in calibration stage with finer incident angle spacing. In conventional approaches, incident angle spacing is made to be large enough so that the columns in TM are out of memory effect of turbid media. Otherwise, the columns in TM are correlated and the inversion becomes difficult. We employ compressed sensing (CS) for a successful high resolution angular spectrum recovery with dense sampled TM. CS is a relatively new information acquisition and reconstruction framework and has shown to provide superb performance in ill-conditioned inverse problems. We observe that the image quality metrics such as contrast-to-noise ratio and mean squared error are improved and the perceptual image quality is improved with reduced speckle noise in the reconstructed image. This results shows that the WITM performance can be improved only by executing dense sampling in the calibration stage and with an efficient signal reconstruction framework without elaborating the overall optical imaging systems.

Conference Presentation

Citation Download Citation

Hwanchol Jang, Changhyeong Yoon, Wonshik Choi, Tae Joong Eom, and Heung-No Lee "Dense sampled transmission matrix for high resolution angular spectrum imaging through turbid media via compressed sensing (Conference Presentation)", Proc. SPIE 9717, Adaptive Optics and Wavefront Control for Biological Systems II, 971714 (27 April 2016); https://doi.org/10.1117/12.2212760

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KEYWORDS

Image quality

Image restoration

Calibration

Compressed sensing

Spatial resolution

Image resolution

Image analysis

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