摘要
提出了一种基于雾气理论的图像加雾隐藏新算法。首先对图像进行区域分割。然后对分割结果进行巴特沃斯滤波,得到薄雾遮罩,并将其与原始图像融合形成薄雾图像。最后,在薄雾图像中需要隐藏的军事目标上加入浓雾遮罩,并对浓雾边缘像素值做渐变处理得到加雾隐藏图像。对加雾隐藏图像进行逆运算可恢复原始图像。实验结果表明,该算法可以有效隐藏图像中的军事目标并抵抗去雾攻击。
A new image fogging hiding algorithm base on fog theory is proposed. Firstly, it segmented the original image into regions. Then processed the segmentation by Butterworth filter to get the thin fog veil and fused it to the o- riginal image. Furthermore, added the heavy fog veil to the thin fogging image. Finally, it obtained the fogging hid- ing image by processing the values of the heavy fog edge pixel gradiently. It regained the original image by using the reverse operation on the fogging hiding image. Experimental results show that the algorithm can hide military targets and resist defogging effectively.
出处
《科学技术与工程》
北大核心
2013年第10期2715-2719,2725,共6页
Science Technology and Engineering
基金
国家自然科学基金项目(61272043)
应急通信重庆市重点实验室开放课题资助
