Suffern, NY, United States of America

Elliot N Linzer

This inventor holds 129 USPTO granted patents and 2 published patent applications, primarily in Image Processing (CPC class G06T5-002). Top assignees: Ambarella, Inc., Lsi Corporation, International Business Machines Corporation. Active years: 1996-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elliot N Linzer. Retrieved from https://idiyas.com/inventor/elliot-n-linzer

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 129 

% Patents Active = 93.8

Average Co-Inventor Count = 1.5

ph-index = 28

Forward Citations = 2,326(Granted Patents)

Forward Citations (Not Self Cited) = 2,287(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • New York, NY (US) (1998)
  • Bronx, NY (US) (1996 - 2005)
  • Bergenfield, NJ (US) (2014)
  • Suffern, NY (US) (2005 - 2016)
  • Bergenfield, NY (US) (2015 - 2023)

Company Filing History:


Years Active: 1996-2025

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Areas of Expertise:
Convolutional Neural Network
Image Sharpening
Motion Detection
Temporal Filtering
Video Compression
Digital Noise Reduction
High-Resolution Imaging
Camera Technology
Image Data Processing
Brightness Adjustment
Fixed Pattern Noise Correction
Color Processing
129 patents (USPTO):Explore Patents

Title: Elliot N Linzer: A Collaborative Innovator in Infrared Imaging and Image Processing

Introduction:

In the world of innovations and patents, Elliot N Linzer, hailing from Suffern, NY, has made substantial contributions in the field of infrared imaging and image processing. With an impressive portfolio of 128 patents, Linzer has displayed his expertise in developing cutting-edge technologies. This article delves into Linzer's latest patents, his remarkable career highlights, notable collaborations, and ultimately recognizes him as an influential figure in the industry.

Latest Patents:

One of Linzer's recent patents is titled "High resolution infrared image generation using image data from an RGB-IR sensor and visible light interpolation." This invention involves an apparatus that utilizes image pixel data to generate high-resolution infrared images. By performing interpolation with red, green, blue, and infrared samples, this technology significantly enhances the quality and accuracy of infrared imaging.

Another notable patent is titled "Tone based non-smooth detection." This invention introduces an apparatus that distinguishes between smooth picture noisy areas and non-smooth clean areas in an image. By identifying adjusted non-smoothness values and adjusting noise reduction or sharpening filtering accordingly, this technology enables better image enhancement and optimization.

Career Highlights:

Throughout his career, Linzer has worked with various renowned companies, including Ambarella, Inc. and LSI Corporation (now part of Broadcom Inc.). These companies are recognized leaders in the semiconductor and video processing industries, and Linzer's contributions have undoubtedly played a significant role in their innovative advancements.

Collaborations:

During the course of his career, Linzer has actively collaborated with other inventors, researchers, and industry professionals. Notably, he has worked with Leslie D Kohn and Lowell Leroy Winger, both of whom have made invaluable contributions to the field of image processing. Linzer's collaborations have fostered an environment of creativity and knowledge-sharing, leading to remarkable advancements in the industry.

Conclusion:

Elliot N Linzer's vast portfolio of patents reflects his dedication to pushing technological boundaries in the field of infrared imaging and image processing. His latest inventions, such as high-resolution infrared image generation and tone-based non-smooth detection, showcase his ability to develop practical and innovative solutions. Through his collaborations and career achievements, Linzer has solidified his position as a highly influential innovator, shaping the path of advancements in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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