Data · dataset · 2017
Contrast Enhancement Forensics based on Convolutional Neural Networks(CNN)
Listed in DataCite
This work is about a CNN-based contrast enhancement image forensic method, which can verify autheticity of digital images, i.e., it can distinguish the contrast enhancement forgeries from unaltered images.
Description
The dataset consists of grey level co-occurrence matrix(GLCM) of three types of images: unaltered images, contrast-enhanced images processed by common contrast enhancement techniques (histogram stretching, gamma correction, and S-curve mapping), and the images manipulated by using three current counter-forensic attacks.
README.pdf has descriptions of the other .tar.gz format files. - Train dataset.tar.gz: train data - Test dataset.tar.gz: test data - CEForensicsCNN.tar.gz: source codes & trained model
Links
Where it is published
- Repository landing page figshare.com/articles/dataset/Contrast_Enhancement_Forensics_based_on_Convo… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.5160982.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.5160982.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.5160982.v1 ↗
catalogue entry · from DataCite
Topics
- Inferred from text
- Image 75%
Related
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.5160982.v1 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |