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== Background == | |||
With the development of digital image processing in recent years, numerous image editing techniques have been developed so that realistic synthetic images can be produced conveniently without leaving noticeable visual artifacts. Although these image editing technologies can enrich the user experience, they also cause the problem for people to trust the authenticity of the images. JPEG is the most popular image format for cameras, and the modification of JPEG images may be re-saved to generate a new image, which would cause the double compression of the image. This project focuses on the detection of double compression and single compression to verify the authenticity of the image. | |||
== Introduction == | == Introduction == | ||
== Method == | == Method == | ||
Revision as of 21:37, 19 March 2013
Background
With the development of digital image processing in recent years, numerous image editing techniques have been developed so that realistic synthetic images can be produced conveniently without leaving noticeable visual artifacts. Although these image editing technologies can enrich the user experience, they also cause the problem for people to trust the authenticity of the images. JPEG is the most popular image format for cameras, and the modification of JPEG images may be re-saved to generate a new image, which would cause the double compression of the image. This project focuses on the detection of double compression and single compression to verify the authenticity of the image.