This inventor holds 1 USPTO granted patent. Top assignees: Beijing Smartchip Microelectronics Technology Co., Ltd., Zhejiang University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Yanning Chen: Innovator in Lossless ARGB Compression
Introduction
Yanning Chen is a notable inventor based in Beijing, China. She has made significant contributions to the field of image processing, particularly in the area of lossless compression techniques. Her innovative methods have the potential to enhance the efficiency of image storage and transmission.
Latest Patents
Yanning Chen holds a patent for "Methods for lossless ARGB (alpha, red, green, blue) compression based on intra-block predictions." This method involves a processor executing a series of operations to encode input image blocks. The process includes obtaining predicted values, determining predicted residuals, and encoding these residuals to create a compressed file. This invention is crucial for applications requiring high-quality image representation without data loss.
Career Highlights
Throughout her career, Yanning Chen has worked with esteemed institutions such as Zhejiang University and Beijing Smartchip Microelectronics Technology Co., Ltd. Her experience in these organizations has allowed her to develop and refine her innovative techniques in image processing.
Collaborations
Yanning has collaborated with notable colleagues, including Kai Xu and Bo Wu. These partnerships have contributed to her research and development efforts in the field of image compression.
Conclusion
Yanning Chen's work in lossless ARGB compression showcases her innovative spirit and dedication to advancing technology in image processing. Her contributions are valuable to the ongoing evolution of digital imaging techniques.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile