Seongnam-si, South Korea

Jong-Min You

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Innovations by Jong-Min You

Introduction

Jong-Min You is a notable inventor based in Seongnam-si, South Korea. He has made significant contributions to the field of image processing technology. With a total of 2 patents, his work has garnered attention in the industry.

Latest Patents

Jong-Min You's latest patents include an image signal processor and an image processing system that utilizes a method of binning pixels in an image sensor. The image signal processor features a register and a disparity correction unit. The register is designed to store disparity data obtained from pattern image data generated by an image sensor. This image sensor consists of multiple pixels, each containing at least a first and a second photoelectric conversion element. The image sensor generates pattern image data in response to a pattern image located at a specific distance. The disparity correction unit plays a crucial role in correcting disparity distortion in the image data, ultimately generating result image data. The image sensor captures images of objects, showcasing the practical applications of his inventions.

Career Highlights

Jong-Min You is currently employed at Samsung Electronics Co., Ltd., a leading company in the technology sector. His work at Samsung has allowed him to focus on advancing image processing technologies, contributing to the company's innovative product offerings.

Collaborations

He has collaborated with notable coworkers, including Hee Joo Kang and Young-jun Song. Their teamwork has fostered an environment of creativity and innovation, leading to the development of cutting-edge technologies.

Conclusion

Jong-Min You's contributions to image processing technology through his patents and work at Samsung Electronics Co., Ltd. highlight his role as a significant inventor in the field. His innovations continue to influence advancements in image signal processing.

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