This inventor holds 3 USPTO granted patents. Top assignee: National Taipei University of Technology. Active years: 2016-2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016-2018
Title: Innovations of Inventor Kai-Wen Chen
Introduction
Kai-Wen Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of data encoding and image processing. With a total of 3 patents to his name, his work focuses on innovative methods for generating and decoding data-bearing images.
Latest Patents
Kai-Wen Chen's latest patents include a method for generating a data-bearing halftone image and a method for decoding the data-bearing halftone image. The first patent describes an encoding system that utilizes a halftoning module and an encoding module to convert grayscale images into halftone images. This process involves creating image cells composed of various dots, where at least one dot is a first-tone dot. The encoding module then generates a data-bearing halftone image by adjusting the number of first-tone dots based on specific encoding rules. The second patent outlines an encoding system that transforms a grayscale image into an original halftone image using a predetermined threshold matrix. It identifies carrier cells and optimizes both non-carrier and encoded cells to visually approximate the original grayscale image.
Career Highlights
Kai-Wen Chen is affiliated with the National Taipei University of Technology, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in image processing and data encoding.
Collaborations
He collaborates with esteemed colleagues such as Yung-Yao Chen and Hsien-I Lin, contributing to a dynamic research environment that fosters innovation.
Conclusion
Kai-Wen Chen's contributions to the field of data-bearing image technology highlight his role as a leading inventor. His innovative methods and collaborative efforts continue to push the boundaries of image processing and encoding.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
