Neural Network Coordinate Generation for Image Distortion Correction

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Solution Overview

Problem

Current image distortion correction techniques require complex calculations using interpolation methods, which can be inefficient and cumbersome.

Innovation Solution

A coordinate generation system utilizing a neural network module to generate coordinates for an image based on the vertex coordinates of a target image, simplifying the calculation process by replacing interpolation with neural network processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional interpolation methods are used to calculate coordinates, then coordinate generation can be achieved, but the calculation process becomes complex and inefficient

Engineering Contradiction:

Improvecoordinate generation efficiencyVSAvoidcalculation process complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical interpolation calculation methods with a neural network system. The neural network learns coordinate transformation patterns from training data and directly predicts output coordinates, substituting the complex mathematical interpolation process with a trained model that performs inference, thereby simplifying the calculation process and improving efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent performs preliminary training of the neural network using coordinate data from multiple images. During this preliminary action, the network learns the relationship between input and output coordinates through forward propagation and backpropagation. This pre-learning process enables the system to generate coordinates efficiently during actual operation without performing complex real-time interpolation calculations

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12217332B2Coordinate generation system, coordinate generation method, and computer readable recording medium with stored program

Publication Date: 2025.02.04 REALTEK SEMICON CORP

AI summary

A coordinate generation system, a coordinate generation method, a computer readable recording medium with stored program, and a non-transitory computer program product are provided. The coordinate generation system includes processing units and a neural network module. The processing units are configured to obtain four vertex coordinates of an image. The vertex coordinates include first components and second components. The processing unit is configured to perform the following steps: obtaining first vector based on the first components of the four vertex coordinates and repeatedly concatenating the first vector so as to obtain a first input; obtaining second vector based on the second components of the four vertex coordinates and repeatedly concatenating the second vector so as to obtain a second input; and obtaining first output coordinate components and second output coordinate components of output coordinates based on the first input, the second input, and parameters of the neural network module.