title: Tamper detection and restoring system for medical images using wavelet-based reversible data embedding.
abstract: 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.
authors.affiliation: Institute of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
authors.forename: Kuo-Hwa
authors.initials: KH
authors.lastname: Chiang
authors.forename: Kuang-Che
authors.initials: KC
authors.lastname: Chang-Chien
authors.forename: Ruey-Feng
authors.initials: RF
authors.lastname: Chang
authors.forename: Hsuan-Yen
authors.initials: HY
authors.lastname: Yen
mesh_terms: D016494:Computer Security / Q000592:standards*; D003952:Diagnostic Imaging / Q000592:standards*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods / Q000592:standards*; D016347:Medical Records Systems, Computerized / Q000592:standards*; D012637:Security Measures