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Titlebook: Digital Forensics and Watermarking; 19th International W Xianfeng Zhao,Yun-Qing Shi,Hyoung Joong Kim Conference proceedings 2021 Springer N

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Viviana A. Rivarola,Ingrid Sol Cognoe conducted to partial image regions or splicing edges to promise visual consistency. Revealing the blurring inconsistency among the whole image regions contributes to the splicing detection. However, for the defocused image already containing blur inconsistency, the existing methods cannot work wel
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https://doi.org/10.1007/978-3-319-12730-9public security, thus the identification of fake videos has become increasingly active in current researches. However, most present Deepfake detection methods concentrate on exposing facial defects through direct facial feature analysis while merely considering the synergies with authentic behavior
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Variable Rate Syndrome-Trellis Codes for Steganography on Bursty Channelsg rates. In the embedding, a cover vector is sliced into segments, and the embedding rates for each segment depend on the local channel distribution. The parities of stego segments are exploited to indicate the selected embedding rates according to a mapping function between parities and embedding r
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Steganographic Distortion Function for Enhanced Imagesmages. The pixel prediction error and the cost of the pixel value itself are joint to fit the unique properties of enhanced image. Given a cover image, each pixel is predicted by its neighbors. The prediction error, which reflects the texture complexity, are combined with the cost of the pixel value
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