Pyramid Vignettes for Efficient Digital Image Rendering
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Solution Overview
Problem
Current digital image modification techniques require significant processing resources and storage to render photorealistic variations of images at different resolutions, often resulting in inefficient use of resources and lower quality images due to time constraints on scaling algorithms.
Innovation Solution
The use of pyramid vignettes, which store digital image templates at multiple resolutions, allowing for the selection of pre-scaled data for rendering, thereby avoiding unnecessary pixel rendering and enabling faster, higher-quality rendering of photorealistic variations with reduced resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If digital image modification is performed at full resolution with detailed processing, then image quality is improved, but processing time and resource consumption increase
Solution Approach 1:
The patent divides the image processing into multiple resolution levels (full resolution, half resolution, quarter resolution, etc.), creating a pyramid structure where images are processed at different scales. This segmentation allows the system to select appropriate processing levels based on requirements, reducing overall processing time while maintaining quality where needed.
Solution Approach 2:
The patent pre-processes images at multiple resolution levels before final use. By creating and storing pyramid vignettes at various resolutions in advance, the system avoids performing full-resolution processing at runtime, thereby reducing processing time when generating photorealistic variations.
2Manufacturing precision
If full-resolution image data is stored and processed, then image quality is improved, but storage resources and processing power increase
Solution Approach 1:
The patent segments image data into multiple resolution components stored in a pyramid structure. Instead of storing and processing only full-resolution data, the system maintains images at half-resolution, quarter-resolution, and other scales, reducing total storage requirements while enabling quality processing when needed.
Solution Approach 2:
The patent applies partial processing by selecting appropriate resolution levels based on requirements. Not all image data at full resolution is processed or stored - only the necessary portions at appropriate resolution levels are handled, reducing storage and processing resource consumption.
3Adaptability or versatility
If scaling algorithms are applied at rendering time, then flexibility is improved, but processing speed decreases due to time constraints
Solution Approach 1:
The patent performs scaling operations in advance during the creation of pyramid vignettes at multiple resolution levels. By pre-scaling images to half-resolution, quarter-resolution, and other levels before runtime, the system eliminates the need for time-constrained scaling algorithms during rendering, improving processing speed while maintaining flexibility.
4Adaptability or versatility
If multiple image variations are produced through additional authoring and photography, then product versatility is improved, but production complexity and cost increase
Solution Approach 1:
The patent creates a universal base image (pyramid vignette) that can generate multiple photorealistic variations through rendering different textures and finishes. Instead of creating separate images for each variation through additional authoring or photography, the same base image structure serves multiple purposes, reducing production complexity.
Solution Approach 2:
The patent uses rendering to create copies of the base image with different textures and finishes applied. Rather than producing entirely new images through photography or authoring, the system generates variations by copying and modifying the pyramid vignette structure, eliminating the need for additional production efforts.
Data Source
AI summary
The present disclosure includes systems and methods relating to digital image modification using pyramid vignettes. In general, one aspect of the subject matter described in this specification can be embodied in a method that includes receiving a request associated with rendering a photorealistic variation of a master digital image at an original resolution, selecting a digital image template from a number of digital image templates comprising image data associated with the master digital image at various resolutions, the selected image data at a different resolution from the original resolution, and rendering the photorealistic variation of the master digital image using the selected template.