Munich, Germany

Hongjie You

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Huawei Technologies Co., Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongjie You. Retrieved from https://idiyas.com/inventor/hongjie-you

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hongjie You: Image Processing Inventor

Introduction

Hongjie You is an inventor associated with Huawei Technologies Co., Ltd. in Munich, Germany. Her patent work includes an image-processing method designed to combine tone mapping with layered image data.

Latest Patents

The provided information lists one patent for Hongjie You: “Image Processing Method and Apparatus, and Storage Medium.” The disclosed method parses an original bitstream and a first layered bitstream to obtain image data, then determines a second layer. One layer serves as the base layer, while the other serves as the detail layer. The method applies tone mapping to the base layer and fuses the resulting mapped image with the detail layer. The record lists 1 patent.

Career Highlights

You’s listed patent reflects work on image processing, layered image representation, and tone mapping. The invention describes a process for combining mapped base-layer content with detail-layer information.

Collaborations

The provided information identifies Yichuan Wang and Quanhe Yu as You’s coworkers. The patent is associated with Huawei Technologies Co., Ltd.

Conclusion

Hongjie You’s listed invention focuses on processing layered image data and combining tone-mapped base imagery with detail information.

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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