VR Image Generation Device Correcting Chromatic Aberration
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Solution Overview
Problem
Current image display systems for virtual reality and augmented reality struggle to maintain a balance between responsiveness and image quality, often resulting in visually-induced motion sickness due to increased load on image processing and delayed rendering of field changes.
Innovation Solution
An image generation device and method that generates a distorted image by reversing the aberration effects of the eyepiece, using pixel value computation and sampling sections to interpolate and sample primary colors at different positions, optimizing pixel values for improved rendering efficiency and reduced latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution and complicated calculations are used to achieve realistic image representation, then image quality is improved, but image processing load increases and responsiveness deteriorates
Solution Approach 1:
The patent pre-calculates and stores chromatic aberration correction data for multiple viewpoints before runtime. When the user moves or the field of view changes, the system can quickly retrieve and apply the appropriate pre-computed correction data without performing complex real-time calculations, thus maintaining high image quality while improving responsiveness
Solution Approach 2:
The patent divides the field of view into multiple regions and applies different chromatic aberration correction strategies to each region. By segmenting the image processing task, the system can focus computational resources on critical areas while using simpler methods for less important regions, balancing image quality and processing speed
2Manufacturing precision
If chromatic aberration correction is applied to each primary color at different positions, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent creates separate sampling patterns for each primary color (R, G, B) that account for their different chromatic aberration characteristics. By preparing these color-specific sampling patterns in advance, the system can apply accurate chromatic correction without complex real-time calculations, as each color channel has its own pre-determined sampling strategy
Solution Approach 2:
The patent varies the sampling positions and intervals for each primary color based on their specific chromatic aberration properties. Red, green, and blue channels are sampled at different positions to compensate for their different wavelengths and aberration characteristics, achieving accurate color correction while maintaining manageable processing complexity through parameter optimization
Data Source
AI summary
An image generation device divides a distorted-image plane into pixel blocks in order to generate a distorted image in consideration of the distortion and chromatic aberration of an eyepiece. In the plane of a source image, the image generation device determines individual RGB sample positions included in the pixel blocks, sets a bounding rectangle containing the individual RGB sample positions, and determines, for example, computation target pixels corresponding to the bounding rectangle. The image generation device calculates the pixel values of, for example, the computation target pixels, interpolates and samples the calculated pixel values, and regards the results of interpolation and sampling as the pixel values of the distorted image.