US 12,430,720 B2
Method for compressed sensing and processing of image data
Manuel Amthor, Jena (DE); Daniel Haase, Jena (DE); and Ralf Engelmann, Jena (DE)
Assigned to Carl Zeiss Microscopy GmbH, Jena (DE)
Filed by Carl Zeiss Microscopy GmbH, Jena (DE)
Filed on Jan. 17, 2023, as Appl. No. 18/155,289.
Claims priority of application No. 10 2022 200 557.0 (DE), filed on Jan. 18, 2022.
Prior Publication US 2023/0230209 A1, Jul. 20, 2023
Int. Cl. G06T 5/00 (2024.01); G06T 5/70 (2024.01); H01J 37/22 (2006.01); H01J 37/28 (2006.01)
CPC G06T 5/70 (2024.01) [H01J 37/222 (2013.01); H01J 37/28 (2013.01); G06T 2207/10061 (2013.01); H01J 2237/221 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A method for sensing and processing image data, the method comprising:
incompletely scanning an object to be imaged, wherein incomplete scanning results in sensed image regions (eB) of the object alternating with non-sensed image regions (neB) of the object;
reconstructing image data of the non-sensed image regions (neB) on the basis of the sensed image data (eBD) of the sensed image regions (eB) to form reconstructed image data (rBD);
ascertaining a noise signal of the sensed image data (eBD) of the sensed regions (eB); and
transferring the noise signal of the sensed image data (eBD) to the reconstructed image data (rBD) of the non-sensed regions (neB), to generate a substantially uniform noise distribution across overall image data of the object in a resultant overall image (rGBInv).