Company Filing History:
Years Active: 2016
Title: Innovations by Shaohua Chen in Image Color Correction
Introduction
Shaohua Chen is an accomplished inventor based in Ste-Catherine, CA. He has made significant contributions to the field of image processing, particularly in color correction technologies. His innovative approach has led to the development of a patented system that enhances the accuracy of color representation in images.
Latest Patents
Shaohua Chen holds a patent for a "System and method for image color correction." This invention involves receiving a reference value for a color statistic and an input image sample. A global color mapping is performed between the input image sample and the reference value to obtain a globally-mapped input image sample. The color statistic of the globally-mapped input image sample substantially matches the reference value, ensuring that each pixel location in the globally-mapped input image sample corresponds with a corresponding pixel location in the input image sample. Furthermore, a point-to-point color mapping function is computed to minimize the error between the globally-mapped input image sample and the input image sample, transforming the color value of each pixel location to match the corresponding pixel location in the globally-mapped input image sample.
Career Highlights
Shaohua Chen has been instrumental in advancing image processing technologies. His work at Matrox Electronic Systems Ltd. has positioned him as a key player in the development of innovative solutions for color correction. His expertise and dedication to his craft have earned him recognition in the industry.
Collaborations
Shaohua Chen collaborates with talented professionals, including his coworker Steve Massicotte. Together, they work on projects that push the boundaries of image processing technology.
Conclusion
Shaohua Chen's contributions to image color correction demonstrate his innovative spirit and technical expertise. His patented system not only enhances image quality but also showcases the potential for advancements in the field of image processing.