Company Filing History:
Years Active: 2016-2023
Title: Innovations of Xiaoxing Li in Image Enhancement Technologies
Introduction
Xiaoxing Li is a prominent inventor based in San Jose, California, known for his contributions to image enhancement technologies. With a total of six patents to his name, he has made significant strides in the field of multi-sensor image processing. His work focuses on improving the quality of images captured by multiple cameras, addressing common challenges in image fusion.
Latest Patents
One of Xiaoxing Li's latest patents is titled "Systems and methods for multi-sensor image enhancement." This patent discloses devices, methods, and non-transitory program storage devices designed to provide enhanced images in multi-camera systems. The techniques involve obtaining images from different capture devices and using a neural network to modify the images for better quality.
Another notable patent is "Mismatched foreign light detection and mitigation in the image fusion of a two-camera system." This invention addresses the issue of foreign lighting effects, such as lens flare, which can degrade image quality. The patent describes a method to detect and mitigate mismatched foreign light patterns in images captured by two different cameras, ensuring that the final fused image maintains a natural appearance.
Career Highlights
Xiaoxing Li is currently employed at Apple Inc., where he continues to innovate in the field of image processing. His work has been instrumental in developing technologies that enhance the user experience in photography and videography.
Collaborations
Throughout his career, Xiaoxing has collaborated with talented individuals such as Jianping Zhou and Sebastien X Beysserie. These collaborations have contributed to the advancement of his research and the successful development of his patented technologies.
Conclusion
Xiaoxing Li's innovative work in image enhancement technologies has significantly impacted the field of photography and imaging. His patents reflect a deep understanding of the challenges in multi-sensor systems and provide solutions that enhance image quality for users.