Image Generation Device Lattice Pattern Weight Averaging
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Solution Overview
Problem
Existing image generation devices face challenges in enhancing the appearance of output images, particularly in overlap regions where the resolution is low, leading to deterioration of the image quality.
Innovation Solution
The image generation device employs a lattice pattern formed by weight-averaging pixel values from multiple cameras, using a circle-based unit pattern and adjusting weights based on the amplitude of composite waves to prevent object loss and improve visibility in overlap regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If weight-averaging is applied to pixel values from multiple cameras in overlap regions, then object visibility is maintained and loss is prevented, but image appearance and resolution are deteriorated
Solution Approach 1:
The patent applies different processing strategies to different regions of the image. In overlap regions, weight-averaging is used to maintain object visibility, while in non-overlap regions, direct mapping is used to preserve high resolution. This local differentiation resolves the contradiction by optimizing each region for its specific requirement.
Solution Approach 2:
The patent dynamically adjusts the weighting parameters based on the composite wave amplitude at each pixel location. By changing the weight parameters according to the interference pattern, the system maintains object visibility in overlap regions while minimizing the impact on overall image quality.
2Reliability
If weight-averaging is applied to pixel values from multiple cameras in overlap regions, then object loss is prevented, but image appearance is deteriorated
Solution Approach 1:
The patent applies different processing strategies to different regions of the image. In overlap regions, weight-averaging is used to maintain object visibility, while in non-overlap regions, direct mapping is used to preserve high resolution. This local differentiation resolves the contradiction by optimizing each region for its specific requirement.
Solution Approach 2:
The patent converts the harmful interference pattern (which causes appearance deterioration) into a beneficial weighting mechanism. By using the composite wave amplitude as the basis for weight calculation, the interference pattern is transformed into a useful guide for determining pixel weights, thereby preventing object loss while managing the appearance impact.
3Reliability
If weights are adjusted based on composite wave amplitude, then visibility and appearance are balanced, but calculation complexity is increased
Solution Approach 1:
The patent calculates the composite wave amplitude and determines the weighting factors in advance, before the actual image fusion process. This preliminary calculation allows the complex weighting operation to be performed once, and then the same weights can be applied during image fusion, reducing the overall computational burden.
Solution Approach 2:
The patent uses the lattice pattern (derived from the interference pattern) as a template or copy that can be applied repeatedly across the image. By calculating the weights based on the lattice pattern once, the system avoids recalculating similar weights for multiple pixels, thereby reducing calculation complexity.
Data Source
AI summary
An image generation device generates an output image based on input images captured by three cameras. An input image portion corresponding to an overlap region of imaging ranges of the cameras forms a lattice pattern in the output image. The lattice pattern uses, as a unit pattern, lattice points divided by circles drawn by waves around two cameras. Pixel values of the unit pattern are obtained by weight-averaging pixel values of first and second input images. A weighted average value of pixel values of the first input image is equal to or larger than a weighted average value of pixel values of the second input image in one of two unit patterns through which an abdominal line and a nodal line pass, and is equal to or smaller than the weighted average value of the pixel values of the second input image in the other one thereof.