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公开(公告)号:US20220253983A1
公开(公告)日:2022-08-11
申请号:US17621710
申请日:2020-06-19
Applicant: LEICA MICROSYSTEMS CMS GMBH
Inventor: Kai WALTER , Florian ZIESCHE
Abstract: A signal processing apparatus for enhancing a digital input signal (I(xi)) recorded by a recording system having a system response (H(xi)), is configured to retrieve the digital input signal (I(xi)) and compute a baseline estimate (ƒ(xi)) of the digital input signal, the baseline estimate representing a baseline of the digital input signal and comprising features of the digital input signal that are larger than a feature length (fl). The apparatus is further configured to remove the baseline estimate from the digital input signal to obtain an output signal comprising spatial features that are smaller than the feature length, retrieve a characteristic length (cl) of the system response (H(xi)) and compute the baseline estimate (ƒ(xi)) using a feature length that is smaller than the characteristic length of the system response (H(xi)).
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公开(公告)号:US20210118101A1
公开(公告)日:2021-04-22
申请号:US17042194
申请日:2019-03-29
Applicant: LEICA MICROSYSTEMS CMS GMBH
Inventor: Kai WALTER , Florian ZIESCHE
Abstract: An apparatus for baseline estimation in input signal data is configured to retrieve input signal data (I(xi)) and to subtract baseline estimation data (f(xi)) from the input signal data (I(xi)) to compute output signal data. The apparatus is further configured to compute the baseline estimation data (f(xi)) from a convolution using a discrete Green's function (G(xi)).
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公开(公告)号:US20220327670A1
公开(公告)日:2022-10-13
申请号:US17625099
申请日:2020-07-08
Applicant: LEICA MICROSYSTEMS CMS GMBH
Inventor: Florian ZIESCHE , Kai WALTER
IPC: G06T5/00
Abstract: A signal processing apparatus for deblurring a digital input signal (I(xi)) comprising one or more processors. The one or more processors are configured to: compute a plurality of local length scales (lk, l(xi), λ) from at least one of a local signal resolution (FRCk) and a local signal-to-noise ratio (SNRk), and to compute each of the local length scales at a different location (Ik(xi)) of the digital input signal, each of the different locations comprising at least one sample point (xi) of the input signal; compute a baseline estimate (ƒn(xi, ln), ƒ(xi, l(xi))) of the input signal based on the local length scales, the baseline estimate representing signal structures of the digital input signal that are larger than the local length scale; and compute a digital output signal (O(xi)) based on one of (a) the baseline estimate and (b) the digital input signal and the baseline estimate.
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公开(公告)号:US20210118102A1
公开(公告)日:2021-04-22
申请号:US17042195
申请日:2019-03-29
Applicant: LEICA MICROSYSTEMS CMS GMBH
Inventor: Kai WALTER , Florian ZIESCHE
Abstract: A method for estimating baseline in a signal, the signal being represented by input signal data (I(xi)), includes estimating a baseline contribution (I2(xi)) in the signal to obtain baseline estimation data (f(xi)), wherein the baseline estimation data (f(xi)) are computed as a fit to at least a subset of the input signal data (I(xi)) by minimizing a least-square minimization criterion (M(f(xi))). Deblurred output signal data (O(xi)) are obtained based on the baseline estimation data (f(xi)) and the input signal data (I(xi)). The least-square minimization criterion (M(f(xi))) comprises a penalty term (P(f(xi))).
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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.
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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
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).
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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
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.
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