Company Filing History:
Years Active: 2013
Title: Innovations of Jen-Chen Chien in Image Processing
Introduction
Jen-Chen Chien is an accomplished inventor based in Saratoga, CA (US). She has made significant contributions to the field of image processing, particularly through her innovative methods that enhance image detection techniques. With a focus on practical applications, her work has implications in various technological domains.
Latest Patents
Jen-Chen Chien holds a patent for the "Hough transform method for linear ribbon and circular ring detection in the gradient domain." This method involves converting a portion of an image from a first domain to a second domain. The process applies a Hough transform on the converted portion, which includes calculating a range of angles for each tested pixel relative to a center pixel. The method quantizes the range of angles into multiple bins and utilizes a weighted voting schema to detect features in the image. This innovative approach can be implemented by program instructions executing in parallel on CPUs or GPUs, showcasing its efficiency and effectiveness.
Career Highlights
Jen-Chen Chien is currently employed at Adobe, Inc., where she continues to push the boundaries of image processing technology. Her work at Adobe has allowed her to collaborate with other talented professionals in the field, contributing to the development of advanced imaging solutions.
Collaborations
Throughout her career, Jen-Chen has worked alongside notable colleagues, including Xinju Li and Simon Chen. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Jen-Chen Chien's contributions to image processing through her patented methods exemplify her dedication to advancing technology. Her work not only enhances image detection techniques but also sets a foundation for future innovations in the field.