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Image splicing is one of the most popular techniques used in digital photomontage. This technique aims to crop and paste regions from an image to the same or another image. Splicing is also considered as a basic and popular operation for image tempering. With powerful digital image editor such as Adobe Photoshop, almost anyone is possible to make a perfect tampered image. Examples of abuse of these tampered images in newspapers are reported in several cases and have raised the anxiety of justice among people. With a goal of verifying image content authenticity, passive-blind image tampering detection was called for and an open benchmark dataset also is needed. In this report, we describe a natural color image tampering detection evaluation dataset with realistic splicing operations in order to provide a common platform for the researchers to compare and evaluate the performance of different proposed algorithms.

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The users of the CASIA Tampering Detection Evaluation DataSet must agree that:

The use of the data set is restricted to research purpose only
No redistribution of the dataset or images of the database is allowed

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