Cupertino, CA, United States of America

Kostadin N Dabov

This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kostadin N Dabov. Retrieved from https://idiyas.com/inventor/kostadin-n-dabov

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Kostadin N. Dabov and Adaptive Black-Level Restoration.

Introduction

Kostadin N. Dabov is an inventor associated with Cupertino, California, and Apple Inc. His patent work includes techniques for addressing image-sensor noise and improving the appearance of dark image signals.

Latest Patents

Dabov is credited with 1 patent, titled “Adaptive Black-Level Restoration.” The patent describes methods for compensating for an image sensor’s non-zero black-level output. It uses a noise model to adjust an image signal before clipping, helping the dark portions of an image retain a linear or near-linear mean characteristic after clipping. The model may be based on sensor calibration before capture, evaluation during image capture, or analysis after capture.

Career Highlights

The supplied information associates Dabov with Apple Inc. and identifies his patent contribution in image processing. The described approach addresses how sensor noise and black-level output affect image quality.

Collaborations

Touraj Tajbakhsh is identified as Dabov’s coworker. The available information does not specify their particular collaboration on the patent.

Conclusion

Kostadin N. Dabov’s “Adaptive Black-Level Restoration” patent focuses on improving dark-image signal behavior by accounting for image-sensor noise.

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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