Company Filing History:
Years Active: 2008-2010
Title: Innovations of Thi Thanh Hien Nguyen
Introduction
Thi Thanh Hien Nguyen is a notable inventor based in Hue, Vietnam. He has made significant contributions to the field of image processing, particularly in noise reduction techniques. With a total of 2 patents, his work has garnered attention for its innovative approaches to enhancing image quality.
Latest Patents
Nguyen's latest patents include "Apparatus and method for adaptive 3D artifact reducing for encoded image signal" and "Apparatus and method for adaptive 3D noise reduction." The first patent proposes an efficient and non-iterative 3D post-processing method aimed at reducing mosquito noise and correcting block localization in DCT block-based decoded images. This technique segments images into various regions, such as Edge, Near Edge, Flat, Near Flat, and Texture regions, allowing for targeted noise reduction. The method also incorporates temporal filtering configurations to minimize coding artifacts effectively.
The second patent focuses on a non-iterative 3D processing method for generic noise reduction. This system converts different types of noise into equivalent additive noise with varying statistics. It combines advanced temporal filtering techniques with classical motion estimation to enhance noise reduction efficiency. The spatial noise reducer utilizes Minimum Mean Squared Error (MMSE) with shape adaptive windowing to smooth random noise, particularly in edge regions.
Career Highlights
Thi Thanh Hien Nguyen is currently employed at Algolith Inc., where he continues to develop innovative solutions in image processing. His work has been instrumental in advancing the field and improving the quality of visual media.
Collaborations
Nguyen has collaborated with notable colleagues, including Chon Tam Le Dinh and Duong Tuan Nguyen. These partnerships have contributed to the success of his projects and the development of his patents.
Conclusion
Thi Thanh Hien Nguyen's contributions to image processing through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the field and improve image quality across various applications.
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