Sun-young Jeon

Title: The Innovative Contributions of Sun-young Jeon

Introduction

Sun-young Jeon is a prominent inventor based in Anyang-si, South Korea. She has made significant contributions to the field of image encoding and decoding, holding a total of seven patents. Her work focuses on utilizing deep neural networks to enhance image processing technologies.

Latest Patents

Among her latest patents, Sun-young Jeon has developed a method and device for encoding or decoding images that incorporates in-loop filtering technology using a trained deep neural network (DNN) filter model. This innovative approach involves receiving a bitstream of an encoded image, generating reconstructed data, and applying a DNN filter model based on the content type of the image. Another notable patent involves a prediction image generating technology that also utilizes a DNN. This method includes receiving a bitstream of an encoded image, determining block splits, and generating prediction data for current blocks by applying neighboring blocks to a DNN learning model.

Career Highlights

Sun-young Jeon has worked with leading organizations such as Samsung Electronics Co., Ltd. and Yonsei University. Her experience in these esteemed institutions has allowed her to refine her skills and contribute to groundbreaking advancements in image processing technologies.

Collaborations

Throughout her career, Sun-young Jeon has collaborated with notable colleagues, including Young-o Park and Jae-hwan Kim. These partnerships have fostered an environment of innovation and creativity, leading to the development of her impactful patents.

Conclusion

Sun-young Jeon's contributions to the field of image processing through her innovative patents and collaborations highlight her role as a leading inventor. Her work continues to influence advancements in technology and showcases the potential of deep neural networks in image encoding and decoding.