New York, NY, United States of America

Paul S Giangrossi


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2000

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1 patent (USPTO):Explore Patents

Title: Paul S Giangrossi: Innovator in Composite Image Generation

Introduction

Paul S Giangrossi is a notable inventor based in New York, NY (US). He has made significant contributions to the field of image processing, particularly in the development of methods for generating composite images from individual compressed images. His innovative approach has implications for both static images and video streams.

Latest Patents

Giangrossi holds a patent for a "Method and apparatus for generating a composite image from individual." This patent describes a composite image generator that creates multi-image composites from a plurality of individual compressed images. The technology allows for significantly reduced computation, latency for video processing, and storage requirements. The method involves partially decoding individual compressed images, such as those compressed with the JPEG standard, to create a composite image without fully decoding each image. This efficient process enables the generation of multi-image composites while maintaining high-quality output.

Career Highlights

Paul S Giangrossi has worked at Lucent Technologies Inc., where he has been able to apply his expertise in image processing and compression technologies. His work has contributed to advancements in how images and videos are processed and displayed, enhancing user experiences across various applications.

Collaborations

Some of Giangrossi's notable coworkers include Marc J Beacken and Robert L Doran. Their collaborative efforts have likely played a role in the development of innovative technologies within the company.

Conclusion

Paul S Giangrossi's contributions to the field of composite image generation highlight his innovative spirit and technical expertise. His patent reflects a significant advancement in image processing technology, showcasing the potential for improved efficiency in handling compressed images.

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