计算机科学 ›› 2021, Vol. 48 ›› Issue (11): 234-241.doi: 10.11896/jsjkx.200900121
淡州阳, 刘粉林, 巩道福
DAN Zhou-yang, LIU Fen-lin, GONG Dao-fu
摘要: 平滑处理是数字图像去噪和产生模糊效果的重要手段,经常被用于美化润饰“伪造”图像,因此对各种平滑滤波实施检测是十分有必要的。针对常见的图像平滑处理,文中提出了一种新的基于差分直方图中尾部信息的平滑滤波检测算法。首先,针对待检测图像,基于不同差分步长和方向构建多个差分绝对值直方图;然后,提取直方图中差分值为0和1的出现频率,以及直方图尾部从大到小若干个差分值及其出现频率构建多维检测特征;最后,构建SVM分类器对图像实施检测。在图像库中实施了平滑处理检测以及区分不同平滑滤波的实验,实验结果表明,所提算法对3种常见的空域平滑滤波(中值滤波、均值滤波、高斯滤波)均有优异的检测性能。此外,该算法能够有效地将平滑滤波与锐化、缩放、压缩等其他数字图像操作进行区分,并且在JPEG压缩图像中具有鲁棒性。
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