Dataset namemaskImage FormatPost-processingForgery typesReal/Forged ImagesTrain/Test ImagesDownloadPaperYear CASIA v1.0NoJPEG, TIFFSplicing, copy move, removal800/921 CASIA v2.0NoTIFF, JPEG, BMPYesSplicing, copy move, removal7491/5123715/100http://forensics.idealtest.org/#/,https://github.com/nam...
Image Forgery Datasets Image Tampering Datasets, Image Manipulations Datasets... A repo intend to collect most of datasets (training and evaluation) for the image forgery detection and localization. 图像篡改检测定位数据集收集 Summary Dataset namemaskImage FormatPost-processingForgery typesReal/Forged Image...
To test the proposed model, some experiments were conducted on our own dataset in addition to CASIA V2 image forgery dataset. The experiments covered different types of forgery technique. The results yielded around 88% accuracy rate in the classification process using five different machine learning ...
Image-Forgery 星飞宝贝2022-08-12213CC-BY-SA-NC 4.0 描述 Image-Forgery 数据列表 数据名称上传日期大小下载 season3_data.zip2022-08-12909.74MB 文档 目录
TABLE III: Number of Compound Figures per modality in the dataset Compound Modality Train Test Number of Figures Number of Figures Source of Forgery Figures 1932 991 Inter-Panel Duplication Copy-Move 9516 4094 Inter-Panel Duplication Splicing 604 274 Inter-Panel Duplication Overlap 0 660 Inter-...
(SIFT). In this technique, the input image to be checked for forgery is first divided into texture and smooth regions. Then the keypoints are extracted from the texture part of the image using the SIFT descriptor, and the FMT is applied on the smooth part of the image. Extracted features...
Cristin R, Ananth JP, Cyril Raj V (2018) “Illumination‐based texture descriptor and fruitfly support vector neural network for image forgery detection in face images,” IET Image Process 12(8):1439–1449. https://doi.org/10.1049/iet-ipr.2017.1120. Dang LM, Hassan S, Im S, Moon H (...
Image Manipulation DetectionColumbia (OSN-transmitted - Wechat)DF-NetAUC0.881# 2 Compare f-Score0.759# 1 Compare Intersection over Union0.681# 1 Compare Image Manipulation DetectionColumbia (OSN-transmitted - Weibo)DF-NetAUC0.890# 1 Compare
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection 出处:2019 ResearchGate 作者:Francesco Marra, Diego Gragnaniello, Luisa Verdoliva and Giovanni Poggi 摘要:目前深度学习模型只能输入很小的图像,叫做resizing。在图像篡改中,这可能会破坏高频细节。也可以在放弃对整幅...
They estimated the local weighted variance to generate probability graphs and determined the low-value regions in these probability graphs to be forgery regions. In [27], the authors proposed a detection method that applied the artifacts generated by CFA interpolation to estimate image features; they...