Company Filing History:
Years Active: 2022-2025
Title: Innovations by Ryo Shiota in Imaging Technology
Introduction
Ryo Shiota is a notable inventor based in Kanagawa, Japan. He has made significant contributions to the field of imaging technology, holding two patents that showcase his innovative approach to image processing and correction.
Latest Patents
One of Ryo Shiota's latest patents is an imaging apparatus, imaging method, and storage medium for correcting brightness of an image based on a predetermined value of exposure. This apparatus includes an image sensor designed to capture multiple images with varying in-focus positions. It also features a memory that stores instructions and a processor that executes these instructions to determine a predetermined exposure value. The system controls exposure to ensure that the image sensor captures images with exposure levels below this predetermined value, allowing for brightness correction of the captured images.
Another significant patent by Shiota is an image processing apparatus, image pickup apparatus, image processing method, and non-transitory computer-readable storage medium. This invention involves a memory that stores instructions and a processor that generates a composite map from several images with different in-focus positions along the optical axis. The apparatus corrects the composite map and combines the images to create a composite image with a deeper depth of field than any individual image. It also detects specific regions within the composite map for further correction, enhancing the overall image quality.
Career Highlights
Ryo Shiota is currently associated with Canon Kabushiki Kaisha, a leading company in imaging and optical products. His work at Canon has allowed him to focus on advancing imaging technologies, contributing to the company's reputation for innovation in the field.
Collaborations
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Conclusion
Ryo Shiota's contributions to imaging technology through his patents reflect his innovative spirit and technical expertise. His work continues to influence advancements in image processing and correction, showcasing the importance of innovation in this field.