Bo Ra Lee

Title: The Innovative Contributions of Bo Ra Lee

Introduction

Bo Ra Lee is a prominent inventor based in Icheon-si, South Korea. He has made significant contributions to the field of image processing, holding a total of 2 patents. His work focuses on developing advanced technologies that enhance image quality and processing efficiency.

Latest Patents

Bo Ra Lee's latest patents include an image processing device and an image correcting method. The image processing device features a gain value manager that generates white gain values corresponding to various positions based on the sensing results of a predetermined white image. Additionally, it includes a target pixel manager that detects saturated pixels and determines target pixels as saturated white pixels. The target pixel corrector then changes the pixel values of these target pixels based on the white gain values and the pixel values of peripheral pixels.

Another notable patent is a device for removing noise from images using a cross-kernel type median filter. This device includes a target pixel determination unit that identifies whether a target pixel is noise. It also has a peripheral pixel determination unit that assesses the degree of noise in the peripheral pixel information. The noise removing unit then eliminates the noise from the target pixel and corrects the image by applying the cross-kernel type median filter.

Career Highlights

Bo Ra Lee is currently employed at SK Hynix Inc., a leading semiconductor company. His role involves leveraging his expertise in image processing to develop innovative solutions that meet the demands of modern technology.

Collaborations

Throughout his career, Bo Ra Lee has collaborated with talented individuals such as Du Su Shin and Jeong Yong Song. These collaborations have contributed to the advancement of his projects and the successful development of his patents.

Conclusion

Bo Ra Lee's contributions to image processing technology are noteworthy and demonstrate his commitment to innovation. His patents reflect a deep understanding of the challenges in image quality enhancement and provide effective solutions. His work continues to influence the field and inspire future advancements.