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Exploring Dithered QR Codes for Embedding Images

🔄 Updated 1d ago
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Key points

  • QR codes are robust and allow modification of data modules.
  • Shrinking data modules creates space for embedded images.
  • Dithering techniques like Floyd-Steinberg improve image quality.
  • The process results in low-res, one-bit images within QR codes.

QR Code Structure and Modifiability

QR codes encode data in a grid of squares, divided into function patterns and data modules. Function patterns ensure scanner recognition, while data modules store the actual information. The robustness of QR codes allows for some modification of data modules without compromising scannability, which brands often use for distinctive designs.

Embedding Images in Data Modules

One modification involves shrinking the data modules. Scanners locate the center of pixels based on finder patterns, so reducing the size of the data-carrying pixel allows the surrounding space to be used for other visual elements. This technique enables the embedding of low-resolution, one-bit images within the QR code structure.

Applying Dithering for Image Quality

To improve the visual quality of these embedded images, dithering techniques are employed. Instead of simple thresholding (making dark pixels black and light pixels white), dithering creates the illusion of midtones. A Bayer filter can apply this effect across an image, preserving fine detail. Floyd-Steinberg dithering is an advanced method that diffuses brightness errors to neighboring pixels, enhancing the perceived detail in low-color-depth images.

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Reporting from

This article explains how QR code data modules can be modified to embed low-resolution, one-bit images using dithering techniques. This method allows for distinctive QR code designs while maintaining scannability, offering a creative approach to visual branding within the technical constraints of QR codes.