IDiyas

For the Inventor, By the Inventor

Millbrae, CA, United States of America

Wu Cheng

USPTO Granted Patents = 9

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:

goldMedal9 out of 40,816 
 
Apple Inc.
 patents

Years Active: 2021-2024

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9 patents (USPTO):
1. 12058448 - Adaptive image bracket determination (2024-08-06),
2. 11593918 - Gradient-based noise reduction (2023-02-28),
3. 11570374 - Subject-aware low light photography (2023-01-31),
4. 11562470 - Unified bracketing approach for imaging (2023-01-24),
5. 11200641 - Noise reduction with classification-based contrast preservation (2021-12-14),
6. 11113801 - Robust image motion detection using scene analysis and image frame pairs (2021-09-07),
7. 11094039 - Fusion-adaptive noise reduction (2021-08-17),
8. 11074678 - Biasing a noise filter to preserve image texture (2021-07-27),
9. 10977778 - Unified bracketing approach for imaging (2021-04-13),

Title: Innovations by Wu Cheng in Image Processing

Introduction

Wu Cheng is a notable inventor based in Millbrae, CA (US), recognized for his contributions to image processing technologies. He holds a total of 9 patents, showcasing his innovative approach to enhancing image quality and efficiency in various capturing conditions.

Latest Patents

Among his latest patents, Wu Cheng has developed methods for adaptive image bracket determination and gradient-based noise reduction. The adaptive image bracket determination patent describes a memory-efficient approach to image fusion, aimed at generating low noise and high dynamic range (HDR) images. This technology analyzes an incoming preview image stream from an image capture device and determines a set of images to capture based on a specific analysis related to the capture request. The captured images are then registered and fused in a manner that limits the overall memory footprint, regardless of the number of images captured.

The gradient-based noise reduction patent outlines a method for improving image quality by classifying pixels based on their gradient values. This classification allows for effective denoising of pixels, enhancing the overall clarity of the image.

Career Highlights

Wu Cheng is currently employed at Apple Inc., where he continues to innovate in the field of image processing. His work has significantly contributed to advancements in capturing high-quality images under various conditions.

Collaborations

He collaborates with talented coworkers such as Tak Shing Wong and Gijesh Varghese, further enriching the innovative environment at Apple Inc.

Conclusion

Wu Cheng's contributions to image processing through his patents reflect his commitment to advancing technology in this field. His innovative methods for image bracket determination and noise reduction are paving the way for improved image quality in modern devices.

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