Method for detecting cooked image based on small wave domain homomorphic filtering

Abstract

The invention discloses a method for detecting a forgery image on the basis of homomorphic filtering in the wavelet domain; after HIS transformation is carried out to a colored image, single-layer wavelet decomposition is carried out to the brightness component of the colored image; a homomorphic filtering function in the wavelet domain is designed; a filter coefficient is utilized to carry out homomorphic filtering in the wavelet domain to the image after single-layer wavelet decomposition; similar high pass filtering processing is carried out to wavelet decomposition coefficients of different resolution; an edge detection operator is utilized to extract the information of an edge image after homomorphic filtering in the wavelet domain; a structural element is selected to carry out corrosion operation to the information of the edge image; an edge after being manually blurred is extracted; a connected region of the image after corrosion is marked; a threshold value is set according to the results of experiments; and the connected region with an area not less than 0.8 percent of the connected region of the original image is retained, which is the forgery area of the image. The method effectively blurred edge, thereby lowering the false drop rate.

Description

technical field [0001] The invention relates to the field of image content information security, in particular to a method for blindly detecting the authenticity of image content. Background technique [0002] At present, the protection of digital image content is mainly realized by using digital watermark and signature technology. The basic idea adopted by these technologies is to verify the authenticity of the image by adding additional information. However, most images currently do not contain digital watermarks or signatures. With the popularity and popularity of digital cameras and image processing software, more and more high-quality forged images are disseminated through the Internet, making people's "seeing" no longer "true", causing political, cultural, news and scientific Negative effects on authenticity, etc. Furthermore, the existence of a large number of forged photos is likely to affect the public's personal awareness, and eventually make people lose trust in...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the deficiency that the existing technology cannot effectively detect the authenticity of images, the present invention provides a method for detecting forged images based on homomorphic filtering in the wavelet domain. It summarizes the possible flaws in forged images from the aspect of synthetic edge features, and analyzes the Traces that may be left by the image forgery process and accurately locate the forged area

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