Multi-Layer Image Composition for Automated Scene Rendering
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Solution Overview
Problem
Existing image generation methods are inefficient, necessitating the use of machine image composite engines.
Innovation Solution
A method and apparatus for generating images through multi-layer composition, scene construction, and color adjustment using preset knowledge graphs and primitive libraries, involving nested calls and knowledge transfer operations to optimize image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a machine image composite engine is used to generate images, then image generation can be automated, but the generation efficiency remains low
Solution Approach 1:
The patent segments the image generation process into multiple independent layers (background layer, foreground layer, element layer, etc.), where each layer can be processed and optimized separately. This segmentation allows parallel processing of different image components, significantly improving generation efficiency while maintaining automation.
Solution Approach 2:
The patent introduces a multi-dimensional layering approach, transforming the traditional single-layer image generation into a multi-layer composite structure. By adding the dimension of layer stacking and compositing, the system achieves both high automation and improved efficiency through hierarchical processing.
2Device complexity
If traditional image composition methods are used, then the process is simple, but the image quality and detail are insufficient
Solution Approach 1:
The patent divides the image into multiple semantic layers (background, foreground, elements, text, etc.), allowing each layer to be processed with specialized algorithms and parameters. This segmentation enables high-quality, detailed processing of each component while keeping the overall process structured and manageable.
Solution Approach 2:
Different layers and regions of the image receive customized processing treatments. For example, the background layer uses different compositing techniques than the foreground elements, and text layers undergo specific rendering optimizations. This local quality approach ensures high image quality without uniformly increasing overall complexity.
3Manufacturing precision
If multi-layer composition is implemented, then image detail and richness improve, but processing complexity increases
Solution Approach 1:
The patent performs preliminary processing on each layer before final compositing, including pre-rendering, pre-compositing, and parameter optimization. By preparing layers in advance with predetermined processing steps, the system achieves high detail quality while reducing the complexity of real-time multi-layer processing.
Solution Approach 2:
The patent implements a nested layer structure where simpler layers are composed first, then progressively integrated into more complex layers. This nested approach, similar to matryoshka dolls, allows systematic processing from simple to complex, managing overall complexity while achieving detailed multi-layer images.
Data Source
AI summary
An image generation method and apparatus. The method includes: performing image composition on the basis of an acquired image generation condition, and determining a primitive type and layout information of an image, so as to obtain a composition image (201); according to scenario construction information corresponding to the image generation condition, performing scenario construction on the composition image, and determining a primitive corresponding to each primitive type from among a plurality of primitive types in the composition image, so as to obtain a scenario construction image (202); adjusting the color of each primitive in the scenario construction image according to color matching information corresponding to the image generation condition, so as to obtain a color-matched image (203); and rendering the color-matched image to obtain a target image (204).