Heidi Aarlien Peterson

Title: Innovative Contributions of Heidi Aarlien Peterson in Image Compression and Neural Networks

Introduction

Heidi Aarlien Peterson is a prominent inventor based in New York, NY, known for her significant contributions in the realms of image coding and neural network applications. With a total of four patents to her name, her work has profoundly impacted the fields of image compression and signal processing.

Latest Patents

Among her latest patents, one stands out for its innovative approach to encoding and image compression. The patent titled "Apparatus and method for optimizing encoding and performing automated steerable image compression in an image coding system using a perceptual metric" details a sophisticated method and apparatus that adjust encoding parameters based on a perceptual metric derived from analyzing images. This perceptual metric is generated by comparing original images to their reconstructed counterparts, culminating in a quantitative measure of visual fidelity that guides iterative adjustments in image coding.

Another notable patent from Peterson is titled "Method and apparatus for training a neural network to learn and use." This invention encompasses a signal processing apparatus designed to process large quantities of fidelity metrics and simplify subjective image quality ratings. Integrating a visual discrimination measure (VDM) with a neural network, the patented technology enhances video encoder control, demonstrating Peterson's innovative contributions to the field of signal processing.

Career Highlights

Heidi's career has seen her excel at notable companies such as Sarnoff Corporation and International Business Machines Corporation (IBM). Her experience encompasses profound expertise in developing technologies that enhance image quality and efficiency in media processing.

Collaborations

Throughout her professional journey, Peterson has collaborated with distinguished colleagues, including Elliot N. Linzer and Jungwoo Lee. These partnerships have likely enriched her work, contributing to the advancements reflected in her patents and overall impact in her field.

Conclusion

Heidi Aarlien Peterson’s innovative approach to image compression and her pioneering work in neural networks exemplify her dedication to enhancing visual fidelity in coding systems. With her continued developments, she remains a key player in the intersection of technology and image processing, showcasing the potential for future innovations in this dynamic field.