Hsiao, Dun-YuDun-YuHsiaoSOO-CHANG PEI2020-06-112020-06-112005https://scholars.lib.ntu.edu.tw/handle/123456789/498998https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847180874&doi=10.1109%2fSADFE.2005.8&partnerID=40&md5=e033dd6575dd8c22526ba9be160b80e6With powerful computer and mighty software, seasoned users could turn digital media into what they want. The detection of digital tampering has become a crucial problem. In most of the time, digital tampering is not perceptible by human; however, some traces of digital tampering may be left in the media during the process. Based on this idea, we present a method in this paper that could reveal blurred regions that indicate possible tampering without any embedded information such as watermarking technique. Effectiveness and results will be presented, robustness would also be discussed. © 2005 IEEE.Blur estimation; Digital media; Digital tampering detection; Digital control systems; Digital watermarking; Image quality; Multimedia systems; Signal detection; Software engineering; Pattern recognitionDetecting Digital Tampering by Blur Estimation.conference paper10.1109/SADFE.2005.82-s2.0-33847180874https://doi.org/10.1109/SADFE.2005.8