作　　者： (张露）; (林开司）;

机构地区： 铜陵职业技术学院电气工程系,安徽铜陵244000

出　　处： 《齐齐哈尔大学学报（自然科学版）》 2017年第6期11-15,共5页

摘　　要： 图像在JPEG压缩过程中产生的块效应在频域内体现为功率谱密度产生周期性波峰,篡改会造成JPEG图像块效应的不一致,表现为功率谱密度的周期性波峰衰弱或消除。针对这种情况,提出一种基于块效应频谱特性的JPEG图像合成篡改检测算法,此外,为了减少图像内容本身对块效应的影响,算法先提取包含块效应的噪声,再对噪声分块,分析每一局部小块的块效应,由此定位篡改区域。实验表明,该算法对多种不同格式图像的合成篡改以及篡改区域较小等情况有效。 In the frequency domain, the block effect produced by the image in the process of JPEG compression is reflected in the power spectrum density. Tampering can cause the inconsistency of the block effect of the JPEG image, which is characterized by the periodic peak of the power spectral density. In view of this situation, a new algorithm is proposed for tamper detection in JPEG images based on the spectral properties of the block effect. In addition, in order to reduce the influence of image content on the block effect, the algorithm first extracts the noise which contains the block effect, and then the noise is divided into blocks. The block effect of each local block is analyzed to locate the tampered region. The experimental results show that the algorithm is effective for the synthesis of various image formats and the small area of tampering.

关 键 词： 频域特性 功率谱密度 合成篡改 噪声