Communication Lighting Image Scaling for Resolution-Preserving Projection
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Solution Overview
Problem
The challenge in communication lighting systems for vehicles is maintaining high image quality during resolution changes due to differences between input and output image resolutions, particularly when downsampling, which degrades the projected image content.
Innovation Solution
A communication lighting system with an automatic image transformation function that adjusts output image data size and calculates optimal pixel values for each pixel, using sampling windows to maintain resolution regardless of input image size, and applies weights based on pixel areas for overlapping projections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing is performed to change resolution to match output specifications, then output image compatibility is improved, but image quality deteriorates due to downsampling
Solution Approach 1:
Instead of downsampling the high-resolution input image to match the lower-resolution output specifications (which degrades quality), the patent inverts the approach by upsampling the output image to match the input resolution, processing at high resolution, then downsampling back to output resolution. This maintains image quality by performing processing operations at the higher resolution level where more detail is available.
Solution Approach 2:
The patent changes the resolution parameter dynamically based on the input image resolution. When input resolution is higher than output resolution, the system temporarily adjusts the working resolution to match the input, performs processing, then converts to output resolution. This parameter adaptation allows quality preservation while maintaining output compatibility.
2Adaptability or versatility
If multiple sampling windows are used for different output resolutions, then adaptability to various output specifications is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic sampling window adjustment where the sampling window size and position are automatically adapted based on the input image resolution and desired output resolution. Rather than having fixed, pre-configured sampling windows for each resolution, the system dynamically calculates and adjusts window parameters, providing adaptability without requiring complex pre-programmed configurations for every possible resolution combination.
Solution Approach 2:
The sampling window mechanism is designed to automatically determine its own parameters based on the input image characteristics and output requirements. The system self-adjusts the sampling window configuration without requiring external intervention or complex control logic, simplifying the overall device architecture while maintaining versatility.
Data Source
AI summary
The present invention relates to a technology for automatically changing a size of output image data according to an output specification of a communication lighting system regardless of a size of an original image input to be projected using a lamp.