Heng Yao

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—In visual perception, distant objects appear smaller than those close to the observer. To insert an object into an image, properly size a foreign object is difficult, especially when there is no reference object in the same distance. To detect this type of image forgery, we present a perspective-constraint based method, with which the height ratio of two(More)
— A robust hashing method is developed for detecting image forgery including removal, insertion and replacement of objects, and abnormal color modification, and for locating the forged area. Both global and local features are used in forming the hash sequence. The global features are based on Zernike moments representing luminance and chrominance(More)
The bending movement of the pulvinus of Mimosa pudica is caused by a rapid change in volume of the abaxial motor cells, in response to various environmental stimuli. We investigated the relationship between the actin cytoskeleton and changes in the level of calcium during rapid contractile movement of the motor cells that was induced by electrical(More)
In a spliced image, areas from different origins contain different noise features, which may be exploited as evidence for forgery detection. In this paper, we propose a noise level evaluation method for digital photos, and use the method to detect image splicing. Unlike most noise-based forensic techniques in which an AWGN model is assumed, the noise(More)
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