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Based on digital image forensics edge characteristic morphological filtering technology

机译:基于数字图像取证边缘特征形态过滤技术

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For the number of buildings in the most commonly forged composite image blur operation, this paper presents an image forensics morphological filtering algorithm based on edge characteristics; The method uses homomorphic filtering and morphological filtering method to enhance the operation of the fuzzy image edge analyzed defocus blur and artificial blurred boundary characteristics, the use of artificial edge blur and defocus blur characteristics achieved for passive blind digital image forgery evidence; experiments show that this method can effectively detect forged digital images fuzzy operation marks and the partial image has been able to accurately locate the fuzzy operation.
机译:对于最常见的复合图像模糊操作中的建筑物数量,本文介绍了基于边缘特性的图像取证形态过滤算法;该方法采用同型滤波和形态过滤方法来增强模糊图像边缘的操作分析散焦模糊和人工模糊边界特性,使用人工边缘模糊和散焦模糊特性,实现了被动盲数字图像伪逻辑的探索;实验表明,该方法可以有效地检测锻造的数字图像模糊操作标记,并且部分图像已经能够精确定位模糊操作。

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