Name
Title | ||
|---|---|---|
Tamper Detection and Recovery for Medical Images Using Near-lossless Information Hiding Technique. |
Abstract | ||
|---|---|---|
Digital medical images are very easy to be modified for illegal purposes. For example, microcalcification in mammography is
an important diagnostic clue, and it can be wiped off intentionally for insurance purposes or added intentionally into a normal
mammography. In this paper, we proposed two methods to tamper detection and recovery for a medical image. A 1024 × 1024 x-ray
mammogram was chosen to test the ability of tamper detection and recovery. At first, a medical image is divided into several
blocks. For each block, an adaptive robust digital watermarking method combined with the modulo operation is used to hide
both the authentication message and the recovery information. In the first method, each block is embedded with the authentication
message and the recovery information of other blocks. Because the recovered block is too small and excessively compressed,
the concept of region of interest (ROI) is introduced into the second method. If there are no tampered blocks, the original
image can be obtained with only the stego image. When the ROI, such as microcalcification in mammography, is tampered with,
an approximate image will be obtained from other blocks. From the experimental results, the proposed near-lossless method
is proven to effectively detect a tampered medical image and recover the original ROI image. In this study, an adaptive robust
digital watermarking method combined with the operation of modulo 256 was chosen to achieve information hiding and image authentication.
With the proposal method, any random changes on the stego image will be detected in high probability. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s10278-007-9011-1 | J. Digital Imaging |
Keywords | Field | DocType |
Medical image,image processing,image authentication | Computer vision,Steganography,Digital watermarking,Feature detection (computer vision),Computer science,Information hiding,Image processing,Artificial intelligence,Region of interest,Data compression,Lossless compression | Journal |
Volume | Issue | ISSN |
21 | 1 | 1618-727X |
Citations | PageRank | References |
46 | 2.49 | 29 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeffery H. K. Wu | 1 | 46 | 2.49 |
| Ruey-Feng Chang | 2 | 395 | 34.88 |
| Chii-Jen Chen | 3 | 57 | 6.31 |
| Ching-Lin Wang | 4 | 54 | 8.14 |
| Ta-Hsun Kuo | 5 | 46 | 2.49 |
| Woo Kyung Moon | 6 | 299 | 19.46 |
| Dar-Ren Chen | 7 | 60 | 5.18 |