Ipswich, United Kingdom

Quan Huynh-Thu



Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2012-2014

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4 patents (USPTO):Explore Patents

Title: Innovations of Quan Huynh-Thu

Introduction

Quan Huynh-Thu is a notable inventor based in Ipswich, GB. He has made significant contributions to the field of image processing and quality measurement. With a total of four patents to his name, his work focuses on enhancing the quality of video and still images.

Latest Patents

One of his latest patents is titled "Method and apparatus for image signal normalisation." This invention relates to an apparatus and method for normalizing an image signal, particularly for use in perceptual video and still image quality measurement. The method involves generating a non-linear transformation vector based on components of both the decoded image signal and the reference image signal. This process aims to produce a normalized image signal that can be used for quality assessment.

Another significant patent is "Method and apparatus for measuring blockiness in video images." This invention provides a method for determining the degree of blockiness in coded images. It includes steps for assessing vertical and horizontal gradient measures of pixels to identify potential boundaries and calculate blocking artifacts. This method enhances the understanding of image quality by quantifying blockiness.

Career Highlights

Quan Huynh-Thu is currently associated with Psytechnics Limited, where he applies his expertise in image processing. His innovative approaches have contributed to advancements in the field, particularly in the measurement of image quality.

Collaborations

He collaborates with Benjamin Pernot, working together to push the boundaries of image processing technology. Their combined efforts aim to improve the accuracy and reliability of image quality assessments.

Conclusion

Quan Huynh-Thu's contributions to image processing through his patents demonstrate his commitment to innovation in the field. His work continues to influence the way image quality is measured and understood.

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