Company Filing History:
Years Active: 2016-2018
Title: The Innovative Contributions of Andreas Weinlich
Introduction
Andreas Weinlich is a notable inventor based in Windsbach, Germany. He has made significant contributions to the field of image processing and compression through his innovative patents. With a total of 3 patents, his work has garnered attention in the technology sector.
Latest Patents
Weinlich's latest patents include groundbreaking methods for pixel prediction. One of his patents, titled "Autogressive pixel prediction in the neighborhood of image borders," describes a method that performs autoregressive pixel prediction based on a weighted sum of reconstructed pixel values. This method focuses on determining weights from pixel values in a specific training region adjacent to the current pixel. The coding method is particularly effective in cases where reconstructed pixel values are not available for all pixels in the neighborhood region.
Another significant patent is "Pixel-prediction for compression of visual data." This invention relates to pixel-prediction methods that utilize a selection of model functions to predict intensity characteristics of reference pixels. These advancements are crucial for enhancing the efficiency of visual data compression.
Career Highlights
Andreas Weinlich is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His role involves developing innovative solutions that push the boundaries of image processing technology. His expertise in this area has made him a valuable asset to the company.
Collaborations
Throughout his career, Weinlich has collaborated with notable colleagues, including Peter Amon and Andreas Hutter. These partnerships have fostered an environment of innovation and creativity, leading to the development of advanced technologies.
Conclusion
Andreas Weinlich's contributions to the field of image processing through his patents demonstrate his commitment to innovation. His work continues to influence the technology landscape, making significant strides in visual data compression and pixel prediction.
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