摘要
针对图像中失焦模糊的存在会影响人工拼接图像检测效果的问题,论文提出了一种通过去除失焦模糊区域对人工拼接区域进行检测的理论研究方法。该算法主要通过计算相关性和局部标准差来检测图像中的失焦模糊区域,然后根据自然图形边缘宽度与人工模糊边缘宽度的特征的差异性,通过计算图像边缘宽度检测出图像中的伪造区域。实验结果显示,该方法可有效解决局部失焦模糊存在对图像检测造成影响的问题。
Aiming at the problem that the image detection of artificial splicing is affected by the defocused images,the paper proposes a theoretical method to detect the artificial splicing imagesby deleting the defocused areas.The algorithm mainly detects the defocused area in splicing images by calculating the correlation coefficient and the local standard deviation.According to the difference between the edge width of the natural image and the edge width of the artificial blur area,the method detects out the forged area by calculating the edge width.The experiment results show that this method can effectively solve the problem that the image detection is affected by the partially defocusedsplicing images.
出处
《软件工程》
2017年第2期16-18,共3页
Software Engineering
