The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 07, 2021

Filed:

Sep. 19, 2019
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Attila Borcs, Budapest, HU;

Kornel Istvan Kis, Tapolca, HU;

Levente Kis, Budapest, HU;

Peter Korosi-Szabo, Budapest, HU;

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 7/80 (2017.01); G06T 5/20 (2006.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06T 5/003 (2013.01); G06T 5/20 (2013.01); G06T 7/80 (2017.01); G06T 11/001 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A device and method for automatic image enhancement in vehicles, in particular land vehicles, including a camera to record a primary-image, and an image-processing-module to determine a resulting-image from the primary-image. The image-processing-module includes image-processing-filters, each configured to transform the primary-image in each case into an intermediate-image, an evaluation-module that outputs a quality-index for each of the intermediate-images transformed with the image-processing-filter, a selection-module that selects the intermediate-image having the highest quality index and outputs it as the resulting-image, and a learning-neural-network to learn, in a learning phase, for each primary-image the image-processing-filter, from the image-processing-filters, having the highest quality index of the intermediate-image, and after the learning phase, for each primary-image to select the image-processing-filter, from the image-processing-filters, having the highest quality index of the intermediate-image.


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