Image Distortion Correction via Lookup Table Mapping

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Solution Overview

Problem

Wide-angle and fisheye lenses in cameras produce distorted images, making it difficult to recognize image content and causing user discomfort, and existing correction methods require complex and costly hardware or software solutions.

Innovation Solution

A method and device that use a controller to acquire images from a reference target with reference points and calibration datum points, calculate expansion/compression ratios, and establish position-ratio relation charts to correct distorted images, allowing for effective image correction without the need for complex hardware or software.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If wide-angle lens or fisheye lens is used to capture images of wide viewing angles, then the viewing angle is improved, but the image distortion increases causing curve of edges and unnatural appearance

Engineering Contradiction:

Improveviewing angleVSAvoidimage distortion

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by pre-calculating and storing correction values for each pixel position in a lookup table before actual image processing. The correction values are computed based on the known lens distortion characteristics and saved for rapid retrieval during image correction, avoiding real-time complex calculations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces complex mechanical or hardware-based correction systems with a software-based lookup table approach. Instead of using complicated hardware to physically correct distortion, the system uses pre-computed correction data stored in memory to transform distorted images into corrected ones through simple data retrieval and pixel value transformation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If complicated hardware or software is used to correct distorted images, then the image correction accuracy is improved, but the system complexity and cost increase

Engineering Contradiction:

Improveimage correction accuracyVSAvoidhardware or software complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent uses copying by creating a lookup table that stores pre-computed correction values that replicate the effect of complex correction algorithms. Instead of implementing sophisticated real-time correction hardware or software, the system copies the essential correction information into a simple lookup table that can be rapidly queried during image processing.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent employs a simple, inexpensive lookup table structure that can be easily generated and stored in basic memory. Rather than investing in complex, expensive correction hardware or sophisticated software systems, the invention uses a lightweight data structure that provides sufficient correction accuracy at minimal cost and complexity.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS11741584B2Method for correcting an image and device thereof

Publication Date: 2023.08.29 GENESYS LOGIC INC

AI summary

A method for correcting distorted image and apparatus thereof are provided. In the method, an image device acquires a first pattern image and a controller generates a relationship table between the first pattern image and an original pattern image. The image device acquires a second pattern image. The controller corrects each pixel content of the second pattern image based on the relationship table to create a correction image corresponding to the second pattern image.