Digital Image Transformation via Unique Pixel Parameter Mapping
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Solution Overview
Problem
Existing methods for transforming digital image content onto three-dimensional objects face challenges in reproducing accurate spatial transformations, especially when dealing with large images or complex three-dimensional models, due to the complexity of matrix inversion and the need for precise distortion algorithms.
Innovation Solution
A method involving a specially prepared reference image with unique numerical parameters per pixel, where the image is transformed similarly to the content to be projected, allowing for reproducible transformation by matching pixel positions between the reference and transformed images, using a LookUp Table for efficient pixel mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If matrix inversion is used to transform large images, then transformation accuracy is improved, but computational effort increases significantly
Solution Approach 1:
The patent pre-calculates and stores the mapping relationships between source and target image coordinates in a lookup table before actual transformation. This preliminary action avoids the need for complex real-time matrix inversion operations, significantly reducing computational effort while maintaining transformation accuracy.
Solution Approach 2:
The patent divides the transformation process into discrete coordinate mapping operations stored in a lookup table, breaking down the complex matrix inversion task into manageable discrete mappings that can be efficiently queried and applied without repeated heavy computation.
2Reliability
If complex three-dimensional models are used for pattern projection, then realism is improved, but device complexity increases
Solution Approach 1:
The patent uses a two-dimensional reference image with unique numerical parameters that copies the essential transformation information needed for realistic pattern projection. This simplified reference image copy replaces the need for complex three-dimensional models, maintaining realism while reducing device complexity.
Solution Approach 2:
The patent introduces a lookup table as an intermediary structure that mediates between the source pattern and the target three-dimensional object. This intermediary stores pre-computed transformation data, eliminating the need to directly handle complex three-dimensional models during the transformation process.
3Adaptability or versatility
If manual adjustment of patterns to three-dimensional shapes is performed, then adaptability is improved, but reproducibility deteriorates
Solution Approach 1:
The patent makes the transformation process self-service by using a reference image with unique numerical parameters that automatically encodes the correct transformation mapping. This eliminates the need for manual adjustment while ensuring consistent reproduction, as the reference image itself provides the transformation instructions.
Solution Approach 2:
The patent transforms the manual adjustment process into an automated parameter-based system by using unique numerical parameters in the reference image to define transformation mappings. This parameter change from manual to automated control ensures both adaptability and reproducibility.
4Ease of operation
If simple keystone distortion is used for poster display, then ease of operation is improved, but applicability to complex objects deteriorates
Solution Approach 1:
The patent creates a universal transformation method using a reference image with unique numerical parameters that can handle both simple keystone distortions for posters and complex pattern projections for three-dimensional objects. This single approach provides multi-functionality, maintaining ease of operation while expanding object applicability.
Data Source
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AI summary
The invention relates to a method for the reproducible transformation of digital image content. According to the invention, the following steps are provided: providing a reference image content with an individual and unique numerical parameter for each individual pixel; receiving the reference image content, which has been transformed elsewhere with any desired transformation effect; transforming an image content to be reproducibly transformed, wherein, for the transformation of each individual pixel of the image content to be reproducibly transformed, the individual and unique numerical parameter is read from the untransformed reference image content at the same position as the pixel of the image content to be reproducibly transformed, and its position in the transformed reference image content is located, and the pixel of the image content to be reproducibly transformed is positioned at that location.where the position of the unique numerical parameter was found in the transformed reference image content.