Image Tile Generation Using Color Data Without Input
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Solution Overview
Problem
Existing image production devices inefficiently process and store high-resolution input image data for simple image elements, consuming processing and storage resources unnecessarily.
Innovation Solution
Selected image tiles corresponding to simple elements, such as borders or barcodes, are generated using color information from a table of contents without relying on high-resolution input data, reducing the need for compression and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution input image data is processed and stored for all tiles, then image quality is maintained, but processing and storage resources are consumed unnecessarily for simple elements
Solution Approach 1:
The patent applies local quality by differentiating between simple and complex image elements. For simple elements (borders, bars, backgrounds), only color information is stored at low resolution. For complex elements, full high-resolution image data is preserved. This selective approach maintains image quality where needed while reducing resource consumption for simple regions.
Solution Approach 2:
The patent segments the image into distinct elements and categorizes them as either simple or complex. This segmentation allows the system to apply different storage and processing strategies to different parts of the image, storing only color data for simple elements and full image data for complex elements, thereby optimizing resource usage.
2Quantity of substance
If high-resolution input image data is compressed and stored, then storage space is reduced, but processing complexity increases
Solution Approach 1:
The patent extracts only the essential color information from simple image elements, separating it from the full image data. This extraction approach stores minimal data (color values) for simple elements while maintaining the ability to reconstruct them, thereby reducing storage space without requiring complex compression algorithms.
3Use of energy by moving object
If low-resolution representations are used for selected tiles, then storage and processing demands are reduced, but image quality may deteriorate
Solution Approach 1:
The patent ensures that image quality is maintained by applying low-resolution storage only to simple elements where quality requirements are minimal. For complex elements, full high-resolution data is retained, ensuring that areas requiring high quality are not degraded. This localized approach resolves the contradiction between resource reduction and quality maintenance.
Data Source
AI summary
A data structure includes entries corresponding to a plurality of tiles that form part of an image, where a given entry of the entries includes color information for a given tile of the plurality of tiles. Image data in the given tile is created using the color information of the given entry, where creating the image data in the given tile using the color information of the given entry is performed without using input image data for the given tile.