Copy move forgery with geometric distortions such as the rotational operation, the scaling operation, the mirror operation and the additive noise operation became more common. Existing methods are not competent for the detection of the copy move forgery with these distortions. In fact, the most critical issue for the detection of the forgery is the determination of the geometric features. This paper proposes an efficient Discrete Radon Polar Complex Exponential Transform (DRPCET)-based method for the extraction of the rotational and the scaling invariant features for the copy move forgery detection. First, the features obtained by the Radon transform (RT) and the Polar Complex Exponential Transform (PCET) are fused together. Then, these features are normalized. In order to achieve the scaling invariant property, an auxiliary circular template is introduced. With the auxiliary circular template, the translational moment invariant features, the rotational moment invariant features and the scaling moment invariant features are constructed for the extraction of the planar geometrical features. By further extracting some useful features for the representation of the image background, the interference of the background information can be reduced. After extracting the geometrical features, the lexicographic sorting is applied. Then, a correlation between the same part or similar parts of the image which are copied and moved to another image is computed. Based on the obtained correlations, these forgery parts can be identified and their composed positions can be located. Finally, these images are denoted as the forgery image. Extensive computer numerical simulations have been performed. The obtained results show that the proposed method can detect the copy move region in the forgery image precisely even though the forgery regions are suffered from the mixed geometric distortions.
Today, teaching and research are two important functions in colleges and universities, so teachers must correctly handle the two's relationship. The author has discussed the dialectical relationship between teaching and research and believes the two are interdependent and mutually reinforcing based on his personal experience from teaching and research practice. It's therefore required of college and university teachers to clearly understand the relationship between teaching and research, combine teaching and research, promote teaching through research, develop research based on teaching, and enhance both their teaching ability and research capability.
In recent years, the proportion of image information has raise to 90% in information transmission. With the rapid development, the network digital image also faced a series of problems. Network digital image forgery has become one of the most serious problems in the process of transmission. Image forgery has seriously affected the authenticity of the news, made the people produce panic intensified social contradictions, and triggered a wide range of public opinion problem. This has led to social disharmony and instability yet. Therefore, research on authenticity identifying of the network news images and the prevention of public opinion incident have important practical significance. In this paper, the forgery manners and reasons of the network digital images are classified in detail. We summarized the common identification methods, and put forward our own opinions on prevention strategies of public opinion incident.
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