Company Filing History:
Years Active: 2024-2025
Title: Gregory Slabaugh: Innovator in Image Processing Technologies
Introduction
Gregory Slabaugh is a notable inventor based in London, GB. He has made significant contributions to the field of image processing, particularly through his innovative patents. With a total of 3 patents to his name, Slabaugh continues to push the boundaries of technology.
Latest Patents
One of his latest patents is focused on noise reconstruction for image denoising. This patent provides example apparatuses, methods, and devices for denoising an image. The apparatus performs operations that include receiving an input image and implementing a trained artificial intelligence model to estimate a noise pattern in the input image. The output image is formed by subtracting the estimated noise pattern from the input image, which is tailored to specific image sensor types.
Another significant patent by Slabaugh is related to spatially adaptive image filtering. This invention involves an image processor designed to transform an input image using a trained artificial intelligence model. The processor receives the input image and processes it based on its content and extracted features. It determines a set of image filters and applies the respective filter to various subregions of the image, allowing for content-based spatial adaptations.
Career Highlights
Gregory Slabaugh is currently employed at Huawei Technologies Co., Limited, where he continues to develop cutting-edge technologies in image processing. His work has garnered attention for its innovative approach to solving complex problems in the field.
Collaborations
Slabaugh has collaborated with notable colleagues, including Ioannis Marras and Stefanos Zafeiriou. Their combined expertise has contributed to advancements in image processing technologies.
Conclusion
Gregory Slabaugh is a prominent inventor whose work in image processing has led to significant advancements in the field. His innovative patents demonstrate his commitment to enhancing technology through artificial intelligence and image denoising techniques.