Hwaseong-si, South Korea

Ju-won Byun

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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2 patents (USPTO):Explore Patents

Title: Innovations of Ju-won Byun

Introduction

Ju-won Byun is a notable inventor based in Hwaseong-si, South Korea. He has made significant contributions to the field of image processing, holding a total of 2 patents. His work focuses on enhancing image quality and computational efficiency in various applications.

Latest Patents

Ju-won Byun's latest patents include an "Image processing method and apparatus for performing sample adaptive offset processing." This invention provides a method for encoding frame images by performing operations based on the largest coding unit and coding unit. It also involves setting a maximum offset adjusted according to the maximum transformation size during encoding, which aids in calculating a sample adaptive offset parameter for SAO compensation.

Another significant patent is the "Image processing device for adjusting computational complexity of interpolation filter, image interpolation method, and image encoding method." This invention allows for the selection of horizontal and vertical interpolation filters with different complexities. It calculates pixel values of sub-pixels through interpolation operations, generating relevant interpolation information.

Career Highlights

Ju-won Byun is currently employed at Samsung Electronics Co., Ltd., a leading company in technology and innovation. His work at Samsung has allowed him to develop cutting-edge technologies that enhance image processing capabilities.

Collaborations

He has collaborated with notable coworkers such as Jung-yeop Yang and Young-Beom Jung, contributing to advancements in their respective fields.

Conclusion

Ju-won Byun's innovative work in image processing has led to significant advancements in technology. His patents reflect his commitment to improving image quality and computational efficiency.

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