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Tian-Tsong Ng, Shih-Fu Chang. A Data Set of Authentic and Spliced Image Blocks. ADVENT Technical Report #203-2004-3 Columbia University, June 2004.

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Image splicing is a simple process that crops and pastes regions from the same or separate sources. It is a fundamental step used in digital photomontage, which refers to a paste-up produced by sticking together images using digital tools such as Photoshop. Examples of photomontages can be seen in several infamous news reporting cases involving the use of faked images. Searching for technical solutions for image authentication, researchers have recently started development of new techniques aiming at blind passive detection of image splicing. However, like most other research communities dealing with data processing, we need an open data set with diverse content and realistic splicing conditions in order to expedite the progresses and facilitate collaborative studies. In this report, we describe with details a data set of 1845 image blocks with a fixed size of 128 pixels x 128 pixels. The image blocks are extracted from images in the CalPhotos collection [CalPhotos'00], with a small number of additional images captured by digital cameras. The data set include about the same number of authentic and spliced image blocks, which are further divided into different subcategories (smooth vs. textured, arbitrary object boundary vs. straight boundary)


Tian-Tsong Ng
Shih-Fu Chang

BibTex Reference

   Author = {Ng, Tian-Tsong and Chang, Shih-Fu},
   Title = {A Data Set of Authentic and Spliced Image Blocks},
   Institution = {Columbia University},
   Month = {June},
   Year = {2004}

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