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Implementation of the forgery detection method described in: "N. Zhu, Z. Li, Blind image splicing detection via noise level function, Signal Processing: Image Communication (2018), https://doi.org/10.1016/j.image.2018.07.012".

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Zhu 2018

This is a matlab implementation of the forgery detection method described in:

Nan Zhu and Zhao Li Blind image splicing detection via noise level function, Signal Processing: Image Communication, 2018.

The noise level implementation is the one provided by the authors in:

Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi Noise Level Estimation Using Weak Textured Patches of a Single Noisy Image IEEE International Conference on Image Processing (ICIP), 2012.

Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi Single-Image Noise Level Estimation for Blind Denoising Noisy Image IEEE Transactions on Image Processing, Vol.22, No.12, pp.5226-5237, December, 2013.

The main code of the forgery detection method is analyze.m

A demonstration example is provided in demo.m

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Implementation of the forgery detection method described in: "N. Zhu, Z. Li, Blind image splicing detection via noise level function, Signal Processing: Image Communication (2018), https://doi.org/10.1016/j.image.2018.07.012".

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