MoireDet

cuda:10.0; pytorch 1.4; torchvision 0.5;

MoireScape*

Our proposed MoireScape dataset contains two subsets:

• MoireScape-real: It contains 500 real image pairs for evaluating moiré edge map estimation. Each pair includes a real camera-captured screen image and its moiré layer with the setup in Fig. 3. To extract moire edge map from a moire layer, the more_layer_segmentation tool can be used.
• MoireScape-synthetic: It contains 18,147 different moiré layers and 4,000 natural images. After varying moiré layers and the their combinations, 50,000 synthetic triplets are collected for the purpose of training (90%) and testing(10%). Each triplet contains a natural image, a moiré layer, and their synthetic mixture.

*: Since each subset surpass 25M, please download them via the online disc link in each text file.

Citation

If you benefit from this work, please cite the mentioned and our paper:

@article{Yang2023Moire,
    author = {Cong Yang and Zhenyu Yang and Yan Ke and Tao Chen and Marcin Grzegorzek and John See},
    title = {Doing More With Moiré Pattern Detection in Digital Photos},
    journal = {IEEE Transactions on Image Processing},
        volume = {32},
        pages = {694-708},
        year = {2023}
}