Cherrybrook, Australia

David Anthony Lawler

This inventor holds 1 USPTO granted patent. Top assignee: Canon Kabushiki Kaisha. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Anthony Lawler. Retrieved from https://idiyas.com/inventor/david-anthony-lawler

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


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: David Anthony Lawler: Innovator in Image Transcoding

Introduction

David Anthony Lawler is an accomplished inventor based in Cherrybrook, Australia. He has made significant contributions to the field of image processing, particularly in the area of transcoding techniques. His innovative approach has led to the development of a unique method that enhances the efficiency of image encoding.

Latest Patents

David holds a patent for a method titled "Transcode PCL delta-row compressed image to edges." This patent describes a process for transcoding a delta row encoded image by receiving the encoded image, subdividing it into tiles, and determining edges within those tiles. The method allows for independent processing of differentially encoded tiles, which improves the overall efficiency of image transcoding.

Career Highlights

David is currently employed at Canon Kabushiki Kaisha, a leading company in imaging and printing technology. His work at Canon has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in image processing technologies.

Collaborations

David has collaborated with Dixon De Sheng Deng, a fellow innovator in the field. Their partnership has fostered the development of new ideas and techniques in image transcoding.

Conclusion

David Anthony Lawler is a notable inventor whose work in image transcoding has made a significant impact in the field. His innovative methods continue to influence advancements in image processing technologies.

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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