Taufkirchen, Germany

Manfred Fürsich


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2005

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1 patent (USPTO):Explore Patents

Title: Manfred Fürsich: Innovator in Image Correction for Printing

Introduction

Manfred Fürsich, an accomplished inventor based in Taufkirchen, Germany, has made significant strides in the realm of image processing technologies. Holding one patent, his work primarily focuses on enhancing the quality of images captured by digital cameras for printing applications.

Latest Patents

Fürsich’s notable patent, titled "Apparatus and method for determining image correction values for printing an image acquired with a digital camera and device for printing an image on printing material," introduces a sophisticated device and method for improving image quality during the printing process. This invention identifies the type of digital camera used to capture the image and determines the necessary correction values based on that camera type, ensuring optimal print results.

Career Highlights

Currently employed at Agfaphoto GmbH, Fürsich has played a pivotal role in advancing printing technology. His innovative methods and techniques have greatly contributed to the company's reputation for quality and precision in image printing.

Collaborations

Manfred has worked alongside esteemed colleagues Wolfgang Keupp and Günter Findeis, all of whom have shared knowledge and expertise in their respective fields. Their collaborative efforts have fostered an environment ripe for innovation, leading to advancements in image processing technologies.

Conclusion

In summary, Manfred Fürsich's contributions to the field of printing and image correction underscore his role as a significant innovator. His patent reflects a commitment to enhancing image quality, pushing the boundaries of what can be achieved in the world of digital photography and printing. As technology continues to evolve, Fürsich’s work will undoubtedly remain influential in shaping the future of image processing.

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