MODEL BASED DOCUMENT IMAGE ENHANCEMENT

Patent №

US 11,769,239

Granted

2023-09-26

Filed 2023

Owner

INTUIT INC.

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

18144638

Systems and methods are disclosed for model based document image enhancement. Instead of requiring paired dirty and clean images for training a model to clean document images (which may cause privacy concerns), two models are trained on the unpaired images such that only the dirty images are accessed or only the clean images are accessed at one time. One model is a first implicit model to translate the dirty images from a source space to a latent space, and the other model is a second implicit model to translate the images from the latent space to clean images in a target space. The second implicit model is trained based on translating electronic document images in the target space to the latent space. In some implementations, the implicit models are diffusion models, such as denoising diffusion implicit models based on solving ordinary differential equations.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06T 7/0002G06T 5/70G06T 9/00G06V 10/70G06V 10/82G06V 30/10G06V 30/164G06V 30/18086+2 more

AI classification

Vision1.00
Machine learning1.00
Natural language1.00
AI hardware1.00
Planning0.99
Knowledge representation0.99
Evolutionary computation0.01
Speech0.00

Ownership

INTUIT INC.

assignment · 635680974

Assignors

ZHANG, JIAXIN, RIMCHALA, THARATHORN JOY, MOUATADID, LALLA, DAS, KAMALIKA, KALLUR PALLI KUMAR, SRICHARAN

On an employer assignment, the assignors are typically the inventors.

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