P‐116: A Demoiré Method for Display Test Using CNN Model with Pixel Shift

Author:

Tang Hao1,Zhang Wuxing1,Xu Gang1

Affiliation:

1. Jingce Electronic USA San Jose CA

Abstract

A deep learning based demoiré algorithm is applied to display test images to remove moiré patterns. The ground truth is generated by pixel shift (PS) method implemented by shifting display panels, instead of camera sensor, a low‐cost alternative to expensive PS cameras for mass production (MP).

Publisher

Wiley

Reference9 articles.

1. Self-adaptively learning to demoiré from focused and defocused image pairs;Liu L.;Advances in Neural Information Processing Systems,2020

2. Textured image demoiréing via signal decomposition and guided filtering;Yang J.;IEEE Transactions on Image Processing,2017

3. 30‐1: High‐Precision High‐Resolution Measurements within Moire

4. Demoir\'eing of Camera- Captured Screen Images Using Deep Convolutional Neural Network;Liu B.;arXiv preprint arXiv,2018

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