Lexington, MA, United States of America

David Pollen


Average Co-Inventor Count = 3.6

ph-index = 3

Forward Citations = 306(Granted Patents)


Company Filing History:


Years Active: 1992

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3 patents (USPTO):Explore Patents

Title: David Pollen: Innovator in Image Coding Technology

Introduction

David Pollen is a notable inventor based in Lexington, MA (US), recognized for his contributions to image coding technology. He holds a total of 3 patents, showcasing his innovative approach to coding images and data arrays.

Latest Patents

Among his latest patents is the "Image coding apparatus and method utilizing separable transformations." This invention discloses a method and apparatus applicable to coding any array of arbitrary dimension. The apparatus employs FIR filters that generate three or more sets of coefficients from linear arrays derived from the array being coded. Each set of coefficients represents spatial frequency information of different frequencies, utilizing preferably orthogonal coefficient sets. Another significant patent is the "Method and apparatus for coding an image," which provides a method for coding an image or other two-dimensional data array. This method generates output images with differing spatial frequency content by taking weighted sums of the pixels in the input image, using sets of two-dimensional irreducible scaling and wavelet coefficients.

Career Highlights

David Pollen is currently associated with Aware, Inc., where he continues to develop innovative solutions in image processing. His work has significantly impacted the field, particularly in enhancing the efficiency and effectiveness of image coding techniques.

Collaborations

Throughout his career, David has collaborated with esteemed colleagues, including Howard L Resnikoff and David C Linden. These collaborations have further enriched his contributions to the field of image coding.

Conclusion

David Pollen's innovative work in image coding technology has led to significant advancements in the field. His patents reflect a deep understanding of image processing and a commitment to enhancing data representation methods.

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