Invention Grant
- Patent Title: Enhancing images in text documents
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Application No.: US18054162Application Date: 2022-11-10
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Publication No.: US12079912B2Publication Date: 2024-09-03
- Inventor: Atul Mene , Martin G. Keen , Sarbajit K. Rakshit , Tushar Agrawal
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen R. Yoder
- Main IPC: G06T1/00
- IPC: G06T1/00 ; G06F40/20 ; G06T3/40 ; G06T5/00 ; G06T11/60

Abstract:
Images placed in documents are enhanced based on the context in which the image is used. Context is determined according to document-specific indicators such as nearby text, headings, titles, and tables of content. A generative adversarial network (GAN) modifies the image according to the context to selectively emphasize relevant components of the image, which may include erasing or deleting irrelevant components. Relevant general-purpose images may be retrieved for use in the document and may be selectively enhanced according to usage of the general-purpose image in a given document.
Public/Granted literature
- US20240161365A1 ENHANCING IMAGES IN TEXT DOCUMENTS Public/Granted day:2024-05-16
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