Based on multiple fields of view (FOV) point spread function (PSF) estimation, we propose a novel gradient-constrained image restoration method to solve optical degradation in microscopic imaging. The whole FOV is segmented into several parts. The modulation transfer function (MTF) is measured to obtain the corresponding PSF for each part. L0 gradient constraint is treated as a regularization term, a fast image restoration method is designed to deblur degraded images of each field of view. Finally, gradual weight approach is used to stitch the multiple field of view (m-FOV) restoration images. Several microscopic images are tested and evaluated. Comparing with other methods, the results indicate that our method performs better, and runs fastest of all.

Date Published: 7 November 2018
PDF: 6 pages
Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 1083218 (7 November 2018); doi: 10.1117/12.2511343

Published in SPIE Proceedings Vol. 10832:
Fifth Conference on Frontiers in Optical Imaging Technology and Applications
Junhao Chu; Wenqing Liu; Huilin Jiang, Editor(s)