Company Filing History:
Years Active: 2006-2008
Title: Yaron M Sadeh: Innovator in Arithmetic Circuitry and Motion Estimation
Introduction
Yaron M Sadeh is a notable inventor based in Kfar Saba, Israel. He holds a total of four patents that showcase his expertise in arithmetic circuitry and motion estimation techniques. His innovative contributions have significantly impacted the fields of digital image processing and computational arithmetic.
Latest Patents
One of Sadeh's latest patents is titled "Arithmetic circuitry for averaging and methods thereof." This invention features a functional unit that includes instances of arithmetic circuitry designed to calculate averages. The circuitry comprises first, second, and third adders, each with inputs and outputs that facilitate the summation of values. The design allows for various arithmetic operations, including averaging and summing multiple inputs, determined by control bits.
Another significant patent is "Method and apparatus for motion estimation in a sequence of digital images." This invention focuses on obtaining low-frequency components from current and reference picture blocks. It calculates quantized phase differences to retrieve motion vectors, enhancing the accuracy of motion estimation in digital images. The refined candidate block is selected based on a matching criterion, improving the overall effectiveness of the motion estimation process.
Career Highlights
Throughout his career, Yaron M Sadeh has worked with several companies, including Parthusceva Ltd. and Parthuseeva Ltd. His experience in these organizations has contributed to his development as an inventor and innovator in his field.
Collaborations
Sadeh has collaborated with notable individuals such as Eldad Melamed and Roy Glasner. These partnerships have likely enriched his work and led to further advancements in his inventions.
Conclusion
Yaron M Sadeh is a distinguished inventor whose work in arithmetic circuitry and motion estimation has made a significant impact in technology. His patents reflect a deep understanding of complex computational processes and their applications in digital imaging.