This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Leica Microsystems Cms Gmbh. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Shih-Jong James Lee: Innovator in Machine Learning for Image Denoising
Introduction
Shih-Jong James Lee is a prominent inventor based in Wetzlar, Germany. He has made significant contributions to the field of machine learning, particularly in the area of image processing. His innovative work focuses on developing systems and methods that enhance the quality of images through advanced algorithms.
Latest Patents
Shih-Jong James Lee holds a patent for "Systems and methods for training a machine-learning algorithm and application of a machine-learning model for denoising images." This patent describes a system designed to train a machine-learning algorithm specifically for denoising images. The system is configured to receive training data that includes multiple image sets obtained from consecutive images. Each image set comprises an initial image, a middle image, and a last image. The system adjusts the weights of the machine-learning algorithm to create a trained model based on the output image and a target image derived from the middle image. This innovative approach significantly improves the quality of image denoising.
Career Highlights
Shih-Jong James Lee is currently employed at Leica Microsystems GmbH, where he applies his expertise in machine learning and image processing. His work at Leica Microsystems has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology and innovation.
Collaborations
Some of his notable coworkers include Hideki Sasaki and Chi-Chou Huang. Their collaborative efforts have contributed to advancements in machine learning applications within the imaging sector.
Conclusion
Shih-Jong James Lee is a key figure in the development of machine-learning algorithms for image denoising. His innovative patent and work at Leica Microsystems highlight his commitment to advancing technology in this field. His contributions are paving the way for improved image processing techniques that benefit various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile