Title:
IMAGE GENERATION DEVICE, TRAINING DEVICE, IMAGE PROCESSING DEVICE, IMAGE GENERATION METHOD, TRAINING METHOD, AND IMAGE PROCESSING METHOD
Document Type and Number:
WIPO Patent Application WO/2024/057768
Kind Code:
A1
Abstract:
This image generation device has at least one first processor. The first processor acquires a first image, highlights or extracts mutually different frequency components for the first image to thereby generate a plurality of frequency processing images, applies mutually different computation processes to each of the plurality of frequency processing images, synthesizes respective frequency components of the plurality of frequency processing images that have been subjected to the computation processes to thereby generate at least one second image, and outputs the first and second images as training data that is used in machine learning of a mathematical model that performs a prescribed inference on input images.
Inventors:
IKEDA HARUKA (JP)
Application Number:
PCT/JP2023/028554
Publication Date:
March 21, 2024
Filing Date:
August 04, 2023
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
G06T7/00
Foreign References:
| JP2021182328A | 2021-11-25 | |||
| JP2001056856A | 2001-02-27 | |||
| JP2009515440A | 2009-04-09 | |||
| JP2008229161A | 2008-10-02 |
Other References:
ZHANG SHAOMIN, ZHI LIJIA, ZHOU TAO: "Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network", BIOMED RESEARCH INTERNATIONAL, HINDAWI PUBLISHING CORPORATION, vol. 2020, 26 December 2020 (2020-12-26), pages 1 - 12, XP093150340, ISSN: 2314-6133, DOI: 10.1155/2020/6687733
Attorney, Agent or Firm:
TAIYO, NAKAJIMA & KATO (JP)
Download PDF: