Tamper detection and restoring system for medical images using wavelet-based reversible data embedding.
Over the past few years, the billows of the digital trends and the exploding growth of electronic networks, such as worldwide web, global mobility networks, etc., have drastically changed our daily lifestyle. In view of the widespread applications of digital images, medical images, which are produce...
| Published in: | Journal of Digital Imaging Vol. 21; no. 1; pp. 77 - 91 |
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| Main Authors: | , , , |
| Format: | algorithm diagnostic images equations & formulas tables/charts Journal Article |
| Published: |
Springer Nature
Mar2008
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105908640&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105908640 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Mar2008 vid: 21 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105908640 2009879481 10.1007/s10278-007-9012-0 NLM17333416 105908640 ppf: 77 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Tamper detection and restoring system for medical images using wavelet-based reversible data embedding. aug: au: Chiang K Chang-Chien K Chang R Yen H affil: Institute of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan. sug: subj: Diagnostic Imaging Digital Imaging Algorithms Data Security Image Processing, Computer Assisted ab: Over the past few years, the billows of the digital trends and the exploding growth of electronic networks, such as worldwide web, global mobility networks, etc., have drastically changed our daily lifestyle. In view of the widespread applications of digital images, medical images, which are produced by a wide variety of medical appliances, are stored in digital form gradually. These digital images are very easy to be modified imperceptively by malicious intruders for illegal purposes. The well-known adage that 'seeing is believing' seems not always a changeless truth. Therefore, protecting images from being altered becomes an important issue. Based on the lossless data-embedding techniques, two detection and restoration systems are proposed to cope with forgery of medical images in this paper. One of them has the ability to recover the whole blocks of the image and the other enables to recover only a particular region where a physician will be interested in, with a better visual quality. Without the need of comparing with the original image, these systems have a great advantage of detecting and locating forged parts of the image with high possibility. And then it can also restore the counterfeited parts. Furthermore, once an image is announced authentic, the original image can be derived from the stego-image losslessly. The experimental results show that the restored version of a tampered image in the first method is extremely close to the original one. As to the second method, the region of interest selected by a physician can be recovered without any loss, when it is tampered. pubtype: Academic Journal doctype: algorithm diagnostic images equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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