San Jose, CA, United States of America

Vladimir Krneta

This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vladimir Krneta. Retrieved from https://idiyas.com/inventor/vladimir-krneta-yzg8p2zx

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vladimir Krneta: Innovator in Image Enhancement Technology

Introduction

Vladimir Krneta is a notable inventor based in San Jose, CA, who has made significant contributions to the field of image enhancement. His innovative approach utilizes deep learning techniques to improve the depth of field in images, showcasing his expertise in both technology and creativity.

Latest Patents

Krneta holds a patent for a method titled "Extended depth of field using deep learning." This patent describes a process that involves capturing multiple input images of a scene, each with different focal depths. The method includes preprocessing the images for alignment and processing them through a neural network to generate an output image with an extended depth of field that encompasses the various focal depths. This innovative technique has the potential to enhance image quality significantly.

Career Highlights

Vladimir Krneta is currently employed at Apple Inc., where he continues to develop cutting-edge technologies. His work at Apple reflects his commitment to advancing the field of image processing and enhancing user experiences through innovative solutions.

Collaborations

Krneta has collaborated with talented individuals such as Dan C Lelescu and Rohit Rajiv Ranade. These collaborations have likely contributed to the development of his innovative patent and further advancements in image enhancement technologies.

Conclusion

Vladimir Krneta is a pioneering inventor whose work in image enhancement through deep learning exemplifies the intersection of technology and creativity. His contributions are poised to make a lasting impact in the field of image processing.

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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