QR Code Graphic Manufacturing Device Error Diffusion
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Solution Overview
Problem
Existing QR code graphics exhibit residual black and white spots in dark and bright areas, leading to an unappealing neat arrangement that is easily identifiable, which affects the visual appeal.
Innovation Solution
A QR code graphic manufacturing device comprising a gray-scaled adjusting module, a data-hiding module, and an error-diffusion module, which adjusts the gray-scaled values of the original image using a transformation formula and performs data-hiding and error-diffusion processes to generate a QR code graphic, while optionally utilizing a masking-effect calculation module to further refine the gray-scaled adjustments based on nearest distance diagrams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binarization is performed on the original image to create a QR code graphic, then the QR code structure becomes clear and identifiable, but residual black and white spots appear in dark and bright areas creating an unappealing neat arrangement
Solution Approach 1:
The patent applies parameter changes by modifying the gray-scaled values of pixels in the original image before binarization. Specifically, it adjusts the gray-scaled values in dark and bright areas to reduce the contrast that causes residual spots, while maintaining the QR code structure clarity through controlled parameter transformation.
Solution Approach 2:
The patent performs preliminary action by pre-processing the original image through gray-scaled adjustment before the binarization process. This preliminary modification of pixel values prevents the formation of residual spots during subsequent binarization, addressing the problem before it manifests in the final QR code graphic.
2Object-generated harmful factors
If gray-scaled values are adjusted to mask residual spots, then visual appeal improves, but the processing complexity increases
Solution Approach 1:
The patent applies local quality by selectively adjusting gray-scaled values only in specific regions where residual spots occur (dark and bright areas), rather than uniformly processing the entire image. This localized approach improves visual appeal while minimizing unnecessary processing complexity in other regions.
Data Source
AI summary
The present disclosure provides a QR code graphic manufacturing device, which comprises a gray-scaled adjusting module, a data-hiding module, and an error-diffusion module. The gray-scaled adjusting module is used to adjust a gray-scaled value of an original image to generate a modified gray-scaled image. The data-hiding module and the error-diffusion module are respectively used to process the modified gray-scaled image and a QR code, and to generate a QR code graphic with a better hidden effect.