Color and Geometry Distortion Correction Using Surface Functionals
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Solution Overview
Problem
Image display devices suffer from color and geometric distortions due to non-ideal geometric behavior and color response, leading to pixel-by-pixel variations and non-uniformity, which existing correction methods fail to address effectively and efficiently, especially in real-time processing.
Innovation Solution
A method and system for correcting color and geometric distortions in images by converting input data into a preferred color space, applying grid transformation data using surface functionals to correct distortions independently for each color component, and combining geometric and color correction to produce distortion-free images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If optical solutions such as extra-low dispersion glass are used to correct color distortions, then color distortion correction is achieved, but system cost and complexity increase
Solution Approach 1:
The patent replaces optical correction mechanisms (extra-low dispersion glass) with electronic/image processing correction methods. The system captures distorted images and applies computational algorithms to correct color distortions, substituting physical optical components with software-based processing.
Solution Approach 2:
The patent changes the approach from modifying physical optical parameters (glass material properties) to adjusting image processing parameters (color correction matrices, lookup tables). By changing how correction is applied—from optical path to digital signal processing—the system achieves correction without adding complex optical components.
2Manufacturing precision
If complex optical correction components are added to correct distortions, then distortion correction capability is improved, but system cost increases
Solution Approach 1:
The patent substitutes expensive optical correction components with affordable digital processing algorithms. Instead of manufacturing and installing precision optical elements, the system uses standard image sensors and processors with correction software, significantly reducing hardware costs.
Solution Approach 2:
The patent creates a digital model or representation of the distortion characteristics and applies inverse transformations to correct images. Rather than physically compensating for distortions through expensive components, the system captures the distortion pattern and uses computational copying/transformation to reverse it.
3Manufacturing precision
If traditional correction methods are used, then some distortion correction is achieved, but real-time processing efficiency is insufficient
Solution Approach 1:
The patent performs preliminary characterization of the distortion properties during system calibration, storing correction parameters in advance. During real-time operation, pre-computed lookup tables and correction matrices are applied directly without complex calculations, enabling fast processing while maintaining accuracy.
Solution Approach 2:
The patent divides the correction process into separate stages: calibration phase (offline, computationally intensive) and operation phase (real-time, efficient). By segmenting the work, heavy computations are performed once during setup, while real-time processing uses simplified lookups and transformations.
Data Source
AI summary
Systems and methods for correcting color and geometry in an image are disclosed. In one example, image data are received in one format and are then converted to another format to perform color correction. In another example, geometric corrections are first applied to each color component of an image data to correct for different distortions including lateral chromatic aberrations. Next, color distortion corrections are performed to correct for each color component of the image data independently. In one particular exemplary embodiment, color distortion corrections are applied using surface function representation of a grid data transformation relating uncorrected values to corrected values.