Company Filing History:
Years Active: 2000-2020
Title: Anthony David DeRose: Innovator in Image Processing
Introduction
Anthony David DeRose is a prominent inventor based in San Rafael, CA (US). He has made significant contributions to the field of image processing, particularly through his innovative use of machine learning techniques. With a total of 8 patents to his name, DeRose has established himself as a key figure in the development of advanced imaging technologies.
Latest Patents
One of DeRose's latest patents focuses on de-noising images using machine learning. This patent describes a method that employs a neural network to efficiently remove noise from images generated by a ray tracer. The neural network is trained using noisy images created with noisy samples and corresponding denoised or high-sampled images. Input features for the neural network include color from pixels of an image, as well as additional characteristics such as shading normal, depth, and albedo. Once trained, the neural network can effectively denoise previously unseen noisy images without requiring manual intervention.
Career Highlights
Throughout his career, Anthony David DeRose has worked with renowned companies such as Pixar Animation Studios. His experience at Pixar has allowed him to contribute to groundbreaking projects in animation and visual effects. His work has not only advanced the technology used in the industry but has also inspired future innovations in image processing.
Collaborations
DeRose has collaborated with notable individuals in the field, including Michael Kass and Mark Joseph Meyer. These collaborations have further enriched his work and contributed to the development of innovative solutions in image processing.
Conclusion
Anthony David DeRose is a distinguished inventor whose work in machine learning and image processing has had a profound impact on the industry. His patents and collaborations reflect his commitment to advancing technology and improving image quality. DeRose's contributions continue to shape the future of imaging technologies.