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Many interesting point detectors have been proposed in the literature. It is unclear which detectors are more appropriate and how their performance depends on the task. We propose to use different detectors to gain different cues of images. Then an ensemble of classifications can be obtained, each based on one cue. The use of classification ensemble to categorize new images can lead to improved performance...
To implement image splicing detection a blind, passive and effective splicing detection scheme was proposed in this paper. The model was based on moment features extracted from the multi-size block discrete cosine transform (MBDCT) and some image quality metrics (IQMs) extracted from the given test image, which are sensitive to spliced image. This model can measure statistical differences between...
With the huge increasing use of digital photography, and the advent of high-performance commodity hardware and the presence of low-cost image editing softwares over the past few years, finding a credible method to detect digital imagepsilas authenticity and getting the result that which method the tampered image was applied to becomes a very valuable topic. In this paper, associating with the common...
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