Convolutional Autoencoders for Image Comparison in Printing Industry Quality Control

Author:

Angelov Stefan1,Lazarova Milena1

Affiliation:

1. Technical University of Sofia, 8 Kliment Ohridski blvd.,Faculty of Computer Systems and Technologies,Department of Computer Systems,Sofia,Bulgaria,1000

Publisher

IEEE

Reference17 articles.

1. A survey of digital and offset print quality issues;robert;Rochester Institute of Technology,2007

2. Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

3. Image Quality Assessment: From Error Visibility to Structural Similarity

4. Autoencoders, unsupervised learning, and deep architectures;baldi;Proc of ICML Workshop on Unsupervised and Transfer Learning PMLR,2012

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