Source: arXiv preprint arXiv: (2018)

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Presentation transcript:

ART-UP: A Novel Method for Generating Scanning-robust Aesthetic QR codes Source: arXiv preprint arXiv:1803.02280 (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

Outline Introduction QR Code Scanning Proposed scheme Experimental results Conclusions Comments

Introduction(1/1)

QR Code Scanning(1/2) Decoding Algorithm Mackintosh, A., Martin, A., Brown, B., Brunschen, C. and Switkin, D., 2009. Zxing, open source library to read 1D/2D barcodes. 2012. https://code, google, com/p/zxing.

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

Proposed scheme (1/8)

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

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

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

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

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

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

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

Experimental results (1/3)

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

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

Conclusions Strong robustness.

Comments