Apparatus and method using baseline estimation and half-quadratic minimization for the deblurring of signal data

US11854166B2 · kind B2 · utility

Assignee

• LEICA MICROSYSTEMS CMS GMBH · DE

Inventors

• Kai WALTER · Schriesheim, DE
• Florian ZIESCHE · Mannheim, DE

Key dates

• Filing date: Mar 29, 2019
• Grant date: Dec 26, 2023
• Expiry date: Oct 2, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30024
• WIPO field: Audio-visual technology
• WIPO sector: Electrical engineering

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))).