This inventor holds 10 USPTO granted patents and 5 published patent applications and 4 EPO patents. Top assignee: Google Inc.. Active years: 2020-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- San Jose, CA (US) (2020 - 2023)
- Campbell, CA (US) (2024)
Company Filing History:
Years Active: 2020-2026
Title: Noritsugu Kanazawa: Innovator in Image Processing Technologies
Introduction
Noritsugu Kanazawa is a prominent inventor based in San Jose, California. He has made significant contributions to the field of image processing, holding a total of four patents. His work focuses on enhancing image quality and colorization through advanced machine learning techniques.
Latest Patents
Kanazawa's latest patents include "High resolution inpainting with a machine-learned augmentation model and texture transfer." This patent describes systems and methods for augmenting images using image augmentation models and texture transfer blocks. The technology allows for the replacement of occluded areas in images with predicted pixel data, resulting in a more complete visual representation. Another notable patent is "Systems and methods for training an image colorization model." This method involves inputting training images into a colorization model to generate predicted color maps, with adjustments made based on a neighborhood color loss function to improve accuracy.
Career Highlights
Kanazawa is currently employed at Google Inc., where he continues to innovate in the realm of image processing. His work has garnered attention for its potential applications in various industries, including photography, film, and digital media.
Collaborations
Some of his notable coworkers include Yael Pritch Knaan and Neal Wadhwa, who collaborate with him on various projects within the company.
Conclusion
Noritsugu Kanazawa's contributions to image processing technologies demonstrate his commitment to innovation and excellence in his field. His patents reflect a deep understanding of machine learning and its applications in enhancing visual media.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
