Coded Image Resolution Matching for Print Error Reduction
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Solution Overview
Problem
Existing image generation methods for barcodes and two-dimensional codes in document data often result in errors during printing due to differences in resolution between the input and output systems, leading to incorrect rendering and potential failure in reading the encoded information.
Innovation Solution
An image generating method that extracts data from the coded images, adjusts the size of configuration elements to be integral multiples of the dot size, and generates corrected image data to ensure accurate rendering compatible with the output device's resolution, thereby minimizing errors and ensuring correct reading of the encoded information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the document data is converted using a printer driver to match the printer resolution, then the output is compatible with the printer, but errors occur in the barcode and two-dimensional code configuration elements
Solution Approach 1:
The patent applies preliminary action by detecting coded images (barcodes and two-dimensional codes) in the document data before conversion, and pre-correcting their configuration element sizes to be integral multiples of the output resolution dot size. This pre-correction prevents rendering errors from occurring in the first place, rather than fixing them after conversion. The detection and correction steps are performed in advance during the image generation process, ensuring both output compatibility and code element accuracy.
2Measurement precision
If the configuration elements are corrected to match the output resolution, then reading accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively processing only the configuration elements of detected coded images, rather than uniformly processing all image data. The system identifies specific regions containing barcodes or two-dimensional codes and applies correction only to those localized areas. This approach improves reading accuracy for coded images while minimizing unnecessary processing of other document content, thereby controlling overall processing complexity.
Solution Approach 2:
The patent applies parameter changes by modifying the size parameter of configuration elements in coded images to be integral multiples of the output resolution dot size. This parameter adjustment ensures that when the image is rendered at the target resolution, the coded elements align perfectly with the output grid, eliminating sub-pixel rendering errors that would compromise reading accuracy.
Data Source
AI summary
An image generating method performed by a computer, includes extracting data corresponding to a first coded image from first image data including the first coded image; generating a second coded image corresponding to the extracted data, wherein a size of a configuration element included in the second coded image is an integral multiple of a dot size of the first image data; and generating second image data indicating an image including an image indicated by the first image data and the generated second coded image.