【24h】

Improving Weights for Graph-Based Image Fragment Reassembly

机译:改进基于图形图像片段的重量重新组装

获取原文

摘要

Reassembling fragmented images is a useful technique to seize digital image evidence. Graph-based methods are one of the most popular for reassembly. However most of them use some garbage data to mistakenly calculate weights between fragment pairs which contain insufficient image data. To overcome this problem, we take special consideration on the last fragment for each reassembling image, in which the insufficient case is likely to happen. If the case comes up, then just the residual pixels are employed to compute the weight. On the images from PASCAL VOC 2010 challenge data set and USC-SIPI image database, experimental results show the effectiveness of our methods.
机译:重新组装碎片图像是抓住数字图像证据的有用技术。基于图形的方法是最受重新组装的最受欢迎的方法之一。然而,大多数人使用一些垃圾数据来错误地计算含有图像数据不足的片段对之间的权重。为了克服这个问题,我们对每个重新组装形象的最后一个片段进行特殊考虑,其中可能发生不足的情况。如果情况出现,则采用残余像素来计算重量。在Pascal VOC 2010挑战数据集和USC-SIPI图像数据库的图像上,实验结果表明了我们的方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号