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Based on linear correlation detection, in this paper a novel digital image forensic scheme is proposed, wherein whether an image is tampered or not may be determined using blue operation. In order to detect blur, which can reveal the trace of tampering, we analyze the linear correlation of image pixels with shortest distance clustering approach. Experimental results show that the proposed method could...
Previously, a classifier called Kernel-based Nonlinear Representor (KNR) was proposed for pattern classification. In this paper KNR is changed to curve fitting for image segmentation applications. For each gray level, a curve is estimated by KNR and separated from that of a higher gray level by a threshold obtained from Newman-Pearson criterion. The thresholds are then merged into a few representative...
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