1. ART-UP: A Novel Method for Generating Scanning-robust Aesthetic QR codes
Source: arXiv preprint arXiv:  (2018)
Authors: Xu, Mingliang, Qingfeng Li, Jianwei Niu, Xiting Liu, Weiwei Xu, Pei Lv, and Bing Zhou
Speaker: Huang Peng-Cheng
Date: 1/11/2019

2. Outline Introduction QR Code Scanning Proposed scheme
Experimental results
Conclusions
Comments

3. Introduction(1/1)

4. QR Code Scanning(1/2) Decoding Algorithm
Mackintosh, A., Martin, A., Brown, B., Brunschen, C. and Switkin, D., Zxing, open source library to read 1D/2D barcodes google, com/p/zxing.

5. QR Code Scanning(2/2) Scanning Error Analysis.
8*8
5*5
hybrid local block averaging method

6. Proposed scheme (1/8)

7. Proposed scheme (2/8) -- Binary Aesthetic QR Codes (1/2)
Visual Saliency Optimization
Module-Based Binarization
Edge and Sal are the results of edge detection and visual
saliency respectively for image I. Heu defines some heuristic rules,
the values of λ1, λ2, and λ3 are determined
to be 0.67, 0.23 and 0.10 respectively

8. Proposed scheme (3/8) -- Binary Aesthetic QR Codes (2/2)
Codewords Adjustment

9. Proposed scheme (4/8) -- Grayscale Aesthetic QR Codes (1/3)
Module-based Scanning Probability Estimation
C. Probability of Correctly Scanning a Module
A. Thresholding Error Estimation
B. Sampling Error Estimation

10. Proposed scheme (5/8) -- Grayscale Aesthetic QR Codes (2/3)
Luminance Adjustment
A. Luminance Modification Algorithm

11. Proposed scheme (6/8) -- Grayscale Aesthetic QR Codes (3/3)
B. Threshold Estimation Algorithm

12. Proposed scheme (7/8) -- Color Aesthetic QR Codes (1/1)

13. Proposed scheme (8/8) -- Parameter Analysis (1/1)

14. Experimental results (1/3)

15. Experimental results (2/3) --Visual Effects(1/1)

16. Experimental results (3/3) --Scanning Robustness(1/1)

17. Conclusions
Strong robustness.

18. Comments