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1. WO2019185174 - APPARATUS AND METHOD, PARTICULARLY FOR MICROSCOPES AND ENDOSCOPES, USING BASELINE ESTIMATION AND HALF-QUADRATIC MINIMIZATION FOR THE DEBLURRING OF IMAGES

Publication Number WO/2019/185174
Publication Date 03.10.2019
International Application No. PCT/EP2018/067244
International Filing Date 27.06.2018
IPC
G06T 5/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
5Image enhancement or restoration
CPC
G01S 13/89
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
13Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
88Radar or analogous systems specially adapted for specific applications
89for mapping or imaging
G01S 15/89
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
15Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
88Sonar systems specially adapted for specific applications
89for mapping or imaging
G01S 7/417
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
7Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
02of systems according to group G01S13/00
41using analysis of echo signal for target characterisation; Target signature; Target cross-section
417involving the use of neural networks
G01V 1/36
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
1Seismology; Seismic or acoustic prospecting or detecting
28Processing seismic data, e.g. analysis, for interpretation, for correction
36Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
G03B 13/36
GPHYSICS
03PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
BAPPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
13Viewfinders; Focusing aids for cameras; Means for focusing for cameras; Autofocus systems for cameras
32Means for focusing
34Power focusing
36Autofocus systems
G06K 9/40
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
40Noise filtering
Applicants
  • LEICA MICROSYSTEMS CMS GMBH [DE]/[DE]
Inventors
  • WALTER, Kai
  • ZIESCHE, Florian
Agents
  • ERK, Patrick
Priority Data
10 2018 204 943.229.03.2018DE
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) APPARATUS AND METHOD, PARTICULARLY FOR MICROSCOPES AND ENDOSCOPES, USING BASELINE ESTIMATION AND HALF-QUADRATIC MINIMIZATION FOR THE DEBLURRING OF IMAGES
(FR) APPAREIL ET PROCÉDÉ, EN PARTICULIER POUR MICROSCOPES ET ENDOSCOPES, UTILISANT UNE ESTIMATION DE BASE ET UNE MINIMISATION SEMI-QUADRATIQUE POUR LA CORRECTION DE FLOU D'IMAGES
Abstract
(EN)
The invention relates to an apparatus, in particular a medical observation device such as a microscope or endoscope, and a method for deblurring images. The apparatus and method start from the assumption that input image data (I) may be additively separated into an in-focus component (II) having predominantly high spatial frequencies and an out-of- focus component (III) being represented predominantly by structures having low spatial frequencies. The unknown out-of-focus component is estimated by a fit, preferably a spline fit, to the input image data using a half-quadratic minimization scheme. The baseline estimate is represented by discrete baseline estimation data (IV) that are computed using a penalty term (V) in addition to a least-square minimization criterion (VI). The baseline estimation data may be computed by an iterative half-quadratic minimization scheme. The half-quadratic minimization scheme may use a computationally efficient convolution to update the baseline estimation data. According to another aspect of the invention, a variety of penalty terms including an arbitrary linear combination of derivatives of the baseline estimation data and of preferably linear feature-extracting filters may be used.
(FR)
L'invention concerne un appareil, en particulier un dispositif d'observation médicale tel qu'un microscope ou un endoscope, et un procédé de correction de flou d'images. L'appareil et le procédé commencent à partir de l'hypothèse que des données d'image d'entrée (I) peuvent être séparées de manière additive en >une composante de mise au point (II) ayant principalement des fréquences spatiales élevées et une composante hors foyer (III) étant représentée principalement par des structures ayant de faibles fréquences spatiales. Le composant inconnu hors foyer est estimé par un ajustement, de préférence un ajustement par cannelure, aux données d'image d'entrée à l'aide d'un schéma de minimisation semi-quadratique. L'estimation de base est représentée par des données d'estimation de base discrètes (IV) qui sont calculées à l'aide d'un terme de pénalité (V) en plus d'un critère de minimisation au moins-carré (VI). Les données d'estimation de base peuvent être calculées par un schéma de minimisation semi-quadratique itératif. Le schéma de minimisation semi-quadratique peut utiliser une convolution efficace sur le plan informatique pour mettre à jour les données d'estimation de base. Selon un autre aspect de l'invention, divers termes de pénalité comprenant une combinaison linéaire arbitraire de dérivés des données d'estimation de base et de filtres d'extraction de caractéristiques de préférence linéaires peuvent être utilisés.
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