Company Filing History:
Years Active: 2002-2003
Title: Edward H. Ringness: Innovator in Color Transformation Technologies
Introduction
Edward H. Ringness is a notable inventor based in Seattle, WA, who has made significant contributions to the field of color transformation technologies. With a total of 2 patents, he has developed innovative methods that enhance the printing process by converting full-color images to spot-color formats.
Latest Patents
One of his latest patents is a method for transforming an image from a full-color process printing mode to a spot-color printing mode. This method, referred to as “Spot Color Transformation” (SCT), aims to preserve the user's intended color usage as much as possible. The SCT utility allows users to transform images generated by computer programs, such as desktop publishing software, from full color to spot color on an object-by-object basis. It effectively maps objects within an image to designated partitions for optimal printing results.
Another significant patent by Ringness is a method for color separating images stored in encapsulated POSTSCRIPT (EPS) files. This method, known as “Encapsulated POSTSCRIPT Color Separation” (ECS), involves a two-step process to determine and separate colors for printing on spot-color plates. The ECS utility customizes POSTSCRIPT language operators to ensure accurate color mapping, enhancing the quality of printed images.
Career Highlights
Edward H. Ringness is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of color technology. His work has contributed to advancements in printing processes, making them more efficient and user-friendly.
Collaborations
Throughout his career, Ringness has collaborated with talented individuals such as Justin Garrett Tolmer and Paul C. Elliott, further enriching his contributions to the field.
Conclusion
Edward H. Ringness stands out as an influential inventor whose work in color transformation technologies has significantly impacted the printing industry. His innovative patents reflect a commitment to enhancing the quality and efficiency of image processing.