Hsinchu, Taiwan

Yan-Fong Chen

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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3 patents (USPTO):Explore Patents

Title: Innovations of Yan-Fong Chen in Image Processing

Introduction

Yan-Fong Chen is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of image processing, particularly in noise reduction techniques. With a total of 3 patents, his work has advanced the capabilities of image technology.

Latest Patents

One of his latest patents is titled "Method for processing image noise in compression process." This invention provides a method and circuit system for processing image noise during the compression process. The system receives an image compressed in a specific format and calculates pixel values after decompression. It determines whether to perform an image-denoising process based on the differences in pixel values among adjacent pixels. The result is an image with reduced noise, enhancing overall image quality.

Another significant patent is "Method and system for compensating image having fixed pattern noise." This method is designed for a 4-cell sensor and automatically calculates compensation parameters for fixed pattern noise based on sensor and lens non-uniformity. By dividing the image into grids and calculating pixel averages, the system can correct fixed pattern noise effectively, improving image clarity.

Career Highlights

Yan-Fong Chen is currently employed at Realtek Semiconductor Inc., where he continues to innovate in the field of image processing. His work has been instrumental in developing technologies that enhance image quality and reduce noise, making significant impacts in various applications.

Collaborations

He collaborates with fellow inventor Wen-Tsung Huang, contributing to advancements in their shared field of expertise.

Conclusion

Yan-Fong Chen's contributions to image processing through his innovative patents demonstrate his commitment to enhancing technology in this area. His work continues to influence the industry and improve image quality for various applications.

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