Deconvolution apparatus and method using a local signal-to-noise ratio

US11182881B2 · kind B2 · utility

Assignee

• LEICA MICROSYSTEMS CMS GMBH · DE

Inventors

• Florian ZIESCHE · Mannheim, DE
• Kai WALTER · Schriesheim, DE
• Juergen Reymann · Heidelberg, DE

Key dates

• Filing date: Jan 25, 2019
• Grant date: Nov 23, 2021
• Expiry date: Jan 25, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20021
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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).