Hsinchu, Taiwan

Tsung-Han Chan

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Chang Gung University. Active years: 2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tsung-Han Chan. Retrieved from https://idiyas.com/inventor/tsung-han-chan

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 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Tsung-Han Chan: Innovator in Image Signal Processing

Introduction

Tsung-Han Chan is an inventor based in Hsinchu City, Taiwan. He is known for his contributions to the field of image signal processing. Although he currently holds no granted patents, his innovative ideas are reflected in his latest patent applications.

Latest Patent Applications

Tsung-Han Chan has filed several notable patent applications. One of his applications is titled "METHOD OF TUNING PARAMETERS FOR IMAGE SIGNAL PROCESSING AND CAMERA SYSTEM." This method involves capturing at least one raw image and generating rendered images based on different parameter value sets. It also includes calculating image quality scores to optimize the parameters for better image processing. Another application is "SYSTEM AND METHOD FOR TUNING ISP PARAMETERS." This method focuses on tuning a plurality of image signal processor parameters by extracting image features and arranging a tuning order to enhance the camera's performance.

Conclusion

Tsung-Han Chan is an emerging inventor in the realm of image signal processing, with innovative approaches that aim to improve camera systems. His latest patent applications showcase his commitment to advancing technology in this field.

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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