- Each folder contains a pair of input/output images.
- Input images are blurred and noisy
- Output images are clean versions of their respective input images.
- All the pairs have been used to train a neural model for the restoration of images containing blurred 1D barcodes.
- If you use this dataset in your work, please add the following reference:
- Neural Image Restoration For Decoding 1-D Barcodes Using Common Camera Phones
Alessandro Zamberletti, Ignazio Gallo, Moreno Carullo and Elisabetta Binaghi
Computer Vision, Imaging and Computer Graphics. Theory and Applications, Springer Berlin Heidelberg, 2011
- Neural Image Restoration For Decoding 1-D Barcodes Using Common Camera Phones
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