Taipei, Taiwan

Wen-Chun Feng

This inventor holds 38 USPTO granted patents and 20 published patent applications, primarily in Image Processing. Top assignees: Qualcomm Incorporated, Sunplus Technology Co., Ltd.. Active years: 2010-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wen-Chun Feng. Retrieved from https://idiyas.com/inventor/wen-chun-feng

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

USPTO Granted Patents = 38 

% Patents Active = 65.8

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 37(Granted Patents)


Location History:

  • Hsinchu, TW (2012)
  • Taipei, TW (2010 - 2021)
  • Taiwan, TW (2021)
  • New Taipei, TW (2022 - 2024)

Company Filing History:


Years Active: 2010-2026

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Areas of Expertise:
Image Capture
Bokeh Effect
Adaptive Synchronization
Image Fusion
Autofocus Coordination
Depth of Field
High Dynamic Range
Multi-Camera System
Optical Disc
Spherical Aberration
Error Correction
Color Processing
38 patents (USPTO):Explore Patents

Title: The Innovative Journey of Wen-Chun Feng

Introduction

Wen-Chun Feng, a prominent inventor based in Taipei, Taiwan, has made significant contributions to the field of image processing, securing a remarkable total of 30 patents. His inventive work particularly focuses on enhancing image quality and processing techniques in various lighting conditions, demonstrating his dedication to advancing photographic technologies.

Latest Patents

Among his latest patents, one notable innovation is centered around “Infrared-based processing of an image.” This invention allows for the multi-point measurement of a scene captured in an image frame, facilitating the application of white balance corrections. It cleverly segments the image frame into different portions, each illuminated by unique sources of light, allowing for tailored adjustments based on the illumination’s color temperature. This ensures that images featuring both indoor and outdoor settings can achieve optimal color fidelity through the application of differential white balancing.

Another impressive patent involves “Autofocus (AF) and auto exposure control (AEC) coordination.” This innovation details systems and methods aimed at improving image signal processing, especially in challenging low-light or high dynamic range (HDR) environments. It introduces an advanced operation where two AEC processes are performed to enhance autofocus conditions first, followed by ensuring ideal settings for image capture. The coordination of these operations enables sophisticated communication between AF and AEC processes, ultimately producing superior image quality in difficult photographic situations.

Career Highlights

Wen-Chun Feng’s career is notable for his tenure at leading technology companies. He has contributed his expertise to Qualcomm Incorporated, a global leader in mobile communication technology, and Sunplus Technology Co., Ltd., which specializes in multimedia technologies. His experience in these companies has undoubtedly shaped his innovative mindset and technical proficiency.

Collaborations

Throughout his career, Wen-Chun has collaborated with esteemed colleagues, including Hui Shan Kao and Chien-Liang Yeh. These partnerships have likely fostered an environment of creativity and shared expertise, enhancing the potential for groundbreaking developments in image processing.

Conclusion

In summary, Wen-Chun Feng stands out as a significant figure in the realm of imaging technology innovations. His prolific patent portfolio reflects a commitment to solving complex challenges in image processing, with a particular focus on optimizing the quality of images captured under diverse lighting conditions. As the industry continues to evolve, the contributions of inventors like Wen-Chun Feng will undoubtedly play a crucial role in shaping future advancements.

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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