BLIND DECONVOLUTION WITH PSF REGULARIZATION FOR WIDE-FIELD MICROSCOPY

被引：0

作者：

Keuper, Margret ^{[1
,2
]}

Temerinac-Ott, Maja ^{[1
,2
]}

Padeken, Jan ^{[3
]}

Heun, Patrick ^{[3
]}

Brox, Thomas ^{[1
,2
]}

Burkhardt, Hans ^{[1
,2
]}

Ronneberger, Olaf ^{[1
,2
]}

机构：

[1] Univ Freiburg, Dept Comp Sci, Freiburg, Germany

[2] Univ Freiburg, BIOSS, Ctr Biol Signalling Studies, Freiburg, Germany

[3] Max Planck Inst Immunobiol, Freiburg, Germany

来源：

2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2012年

关键词：

Wide-field microscopy; kernel penalizer; blind deconvolution; Total Variation; residual denoising; ALGORITHM; IMAGE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose to use a kernel intensity penalizer (KIP) in the blind maximum likelihood expectation maximization (MLEM) deconvolution scheme. With this very general kernel regularization term, we can stabilize the blind MLEM scheme even for the deconvolution of wide-field microscopic recordings. No complex prior point spread function models are needed. We combine state of the art optimization schemes using Tikhonov-Miller and TV regularization with our new kernel regularization. The proposed method improves the conventional deconvolution methods in terms of SNR on real and simulated datasets.

引用

页码：1292 / 1295

页数：4

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