Model suggestions for pixelated enhancement of QR codes

Research & Models
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#1

I’ve been trying to run models for deblurring and enhancing blurry and distorted qr code images via Keras. However, none of them have been able to return the desired output despite being trained on customized QR code datasets (10,000 images) with variations to the models parameters.

Are there any models which can provide an accurate result with respect to image enhancement of grayscaled images in general that could help with this task?

#3

Hi @Abdul_Rahmaan ,

Improving the quality of blurry and distorted QR code images can be a challenging task, but there are several approaches and models that you can try which have been successful in similar image enhancement tasks. Here are some models and techniques you might find useful:

Deep Learning-Based Approaches

  • SRCNN (Super-Resolution Convolutional Neural Network)

  • UNet for Image Enhancement

Generative Adversarial Networks (GANs)

  • DeblurGAN

Traditional Image Processing Techniques

  • Gaussian Blur and Sharpening

Thank You !