Karlsruhe, Germany

Uwe Nagel

This inventor holds 6 USPTO granted patents. Top assignees: Eizo Gmbh, Siemens Aktiengesellschaft. Active years: 2004-2015.


% Patents Active = 66.7

Average Co-Inventor Count = 1.8

ph-index = 2

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2004-2015

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6 patents (USPTO):Explore Patents

Title: Uwe Nagel: Innovator in Image Processing Technology

Introduction

Uwe Nagel is a prominent inventor based in Karlsruhe, Germany. He has made significant contributions to the field of image processing, holding a total of 6 patents. His work focuses on enhancing the reliability and quality of image transmission.

Latest Patents

Nagel's latest patents include a method for identifying improper transmission of images in an image-processing device. This invention involves digitally transmitting an image signal between a transmitter and at least one receiver, where the image signal consists of a timed sequence of images. An alternating signal is superimposed on the image content before transmission, with a frequency that exceeds the perception frequency resolvable by the human eye. Another notable patent is a method for operating an image-processing device where a noise signal is superimposed on the image signal. This method allows for the comparison of certain areas of successive images to determine successful transmission, even if the image content remains identical.

Career Highlights

Throughout his career, Uwe Nagel has worked with notable companies such as Eizo GmbH and Siemens Aktiengesellschaft. His experience in these organizations has contributed to his expertise in image processing technologies.

Collaborations

Nagel has collaborated with esteemed colleagues, including Klaus Burkhardt and Hartmut Schulz. These partnerships have further enriched his work and innovations in the field.

Conclusion

Uwe Nagel's contributions to image processing technology demonstrate his innovative spirit and dedication to improving image transmission methods. His patents reflect a deep understanding of the complexities involved in digital image processing.

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