/Method For Training Document Image Distortion Correction Model, And Document Image Distortion Correction Method And System Using Same
Abstract

The present disclosure provides a method for training a document image distortion correction model, the method being performed by at least one processor. This method includes receiving a first grid dividing a document area into multiple cells on a first image comprising the document area, based the first grid, generating a second grid representing a state in which a distortion of the first image is corrected, generating a backward map calculating a pixel in the first grid corresponding to each pixel in the second grid, and training a document image distortion correction model to generate the backward map from the first image.

Full Text

What is claimed is:

The present disclosure provides a method for training a document image distortion correction model, the method being performed by at least one processor. This method includes receiving a first grid dividing a document area into multiple cells on a first image comprising the document area, based the first grid, generating a second grid representing a state in which a distortion of the first image is corrected, generating a backward map calculating a pixel in the first grid corresponding to each pixel in the second grid, and training a document image distortion correction model to generate the backward map from the first image.
Timeline
Filed
05/04/2026
Published
09/10/2026
Granted
Not Available
IPC Codes(7)
G06V 30/16:Image preprocessing
G06F 40/58:Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
G06V 10/764:using classification, e.g. of video objects