VR Image Distortion Correction via Depth-Based Pixel Interpolation
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Solution Overview
Problem
VR images corrected using typical image processing techniques suffer from low image quality due to distortion caused by lenses in VR devices, leading to user fatigue and reduced immersion.
Innovation Solution
A method and device for processing images that calculate and apply distortion correction ratios and depth values of pixels based on interpolation, effectively correcting lens-induced distortions such as pincushion distortion by determining and adjusting pixel locations and depth values, thereby generating high-quality distortion-corrected images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If typical image processing techniques are used to correct lens distortion, then distortion correction is achieved, but image quality deteriorates
Solution Approach 1:
The patent segments the image into multiple regions based on depth information, applying different distortion correction parameters to each region. This allows precise correction for each depth layer while maintaining overall image quality, resolving the contradiction between correction accuracy and image quality.
Solution Approach 2:
The patent applies local quality by using depth-dependent distortion correction parameters, where different regions of the image receive customized correction based on their depth values. This ensures high correction accuracy for each local region while preserving global image quality.
2Reliability
If distortion correction is applied to VR images, then user immersion is improved, but computational complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-calculating depth information and distortion correction parameters before the actual distortion correction process. This preparation reduces the computational burden during real-time rendering, maintaining user immersion while lowering computational complexity.
Solution Approach 2:
The patent substitutes complex mechanical distortion correction with a computational approach using depth-based parameter modulation. This replaces traditional iterative optimization methods with direct parameter application, reducing computational complexity while maintaining immersion quality.
Data Source
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AI summary
A method of processing an image in a device, and the device thereof are provided. The method includes determining a distortion correction ratio of each of a plurality of vertices included in a source image, based on information about a lens through which the source image is projected, determining corrected location information of pixels located between the plurality of vertices, based on the distortion correction ratio of each of the plurality of vertices and interpolation ratios of the pixels, and rendering a distortion-corrected image including pixels determined as a result of performing interpolation on the plurality of vertices based on the corrected location information.