This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Beijing Dajia Internet Information Technology Co., Ltd.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations by Xiaokun Liu in Image Processing
Introduction
Xiaokun Liu is a notable inventor based in Beijing, China. He has made significant contributions to the field of image processing, showcasing his expertise through innovative patents. His work focuses on enhancing the quality of facial images, which has applications in various technological domains.
Latest Patents
Xiaokun Liu holds a patent for a "Method and apparatus for image processing." This patent describes a method that includes acquiring a first face image and extracting a face highlight area from it. The process involves decreasing the brightness value of the highlight area based on a predetermined parameter and converting the color format of the image to RGB. Ultimately, the method blends the processed image with the original to create a target face image. He has 1 patent to his name.
Career Highlights
Xiaokun Liu is currently employed at Beijing Dajia Internet Information Technology Co., Ltd. His role involves developing advanced image processing techniques that enhance user experience in digital applications. His innovative approach has positioned him as a key player in the technology sector.
Collaborations
Xiaokun Liu collaborates with talented coworkers, including Le Li and Zhen Lu. Together, they work on various projects that push the boundaries of image processing technology.
Conclusion
Xiaokun Liu's contributions to image processing reflect his dedication to innovation and technology. His patent demonstrates a significant advancement in the field, showcasing his skills as an inventor.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile