公开(公告)号：US20230274392A1

公开(公告)日：2023-08-31

申请号：US18154890

申请日：2023-01-16

Applicant: LEICA MICROSYSTEMS CMS GMBH

Inventor： Kai WALTER ,  Lars FRIEDRICH ,  Florian ZIESCHE

IPC: G06T3/40

CPC classification number: G06T3/4023

Abstract: A digital image processing apparatus for computing a baseline estimate of a digital input image is provided. The digital image processing apparatus is configured to obtain a digital intermediate image by downsampling the digital input image by a predetermined downsampling factor, and compute the baseline estimate based on the digital intermediate image.

公开(公告)号：US20220357558A1

公开(公告)日：2022-11-10

申请号：US17620777

申请日：2020-06-19

Applicant: LEICA MICROSYSTEMS CMS GMBH

Inventor： Kai WALTER ,  Benjamin DEISSLER

IPC: G02B7/38 ,  G02B21/24 ,  G02B21/12 ,  H04N5/357

Abstract: An apparatus for enhancing an input phase distribution (I(xi)) is configured to retrieve the input phase distribution (I(xi)) and compute a baseline estimate (ƒ(xi)) as an estimate of a baseline (I2 (xi)) in the input phase distribution (I(xi)). The apparatus is further configured to obtain an output phase distribution (O(xi)) based on the baseline estimate (ƒ(xi)) and the input phase distribution (I(xi)).

公开(公告)号：US20210248720A1

公开(公告)日：2021-08-12

申请号：US17273743

申请日：2019-01-25

Applicant: LEICA MICROSYSTEMS CMS GMBH

Inventor： Florian ZIESCHE ,  Kai WALTER

IPC: G06T5/00 ,  G06T7/13 ,  A61B1/04 ,  A61B90/20

Abstract: A method for a deconvolution of a digital input image (I(xi)) having a plurality of input voxels (xi), in particular a digital input image obtained from a medical observation device, such as a microscope or endoscope and/or using fluorescence, includes computing a local signal-to-noise ratio (SNR(xi)) within an input region (R(xi)) of the digital input image, the input region consisting of a subset of the plurality of input voxels of the digital input image and surrounding the current input voxel. A noise component (β(SNR)) is computed from the local signal-to-noise ratio, the noise component representing image noise (([h*f](xi), n(xi)) in the deconvolution. The noise component is limited to a predetermined minimum noise value (βmin) for a local signal-to-noise ratio above a predetermined upper SNR threshold value (SNRmax) and is limited to a predetermined maximum noise value (βmax) for a local signal-to-noise ratio below a predetermined lower SNR threshold value (SNRmin).

公开(公告)号：US20200349676A1

公开(公告)日：2020-11-05

申请号：US16858836

申请日：2020-04-27

Applicant: Leica Microsystems CMS GmbH

Inventor： Kai WALTER ,  Florian ZIESCHE

IPC: G06T5/00 ,  G06T5/50

Abstract: An image processing device for improving signal-to-noise of microscopy images includes a memory configured to store microscopy images at least temporarily, and processing circuitry configured to determine an output image based on a weighted rolling average of an ordered set of microscopy images stored in the memory. A method for improving signal-to-noise of microscopy images includes storing microscopy images at least temporarily, and determining an output image based on a weighted rolling average of an ordered set of the stored microscopy images.