Transparent robust authentication and distortion measurement technique for images (1996) [11 citations — 0 self]
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by Bin Zhu, Mitchell D. Swanson, Ahmed H. Tewfik
7th IEEE Digital Signal Processing Workshop
ftp://ftp.ee.umn.edu/pub/tewfik/1996/multimedia/veri_dist.ps.Z
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@INPROCEEDINGS{Zhu96transparentrobust,author = {Bin Zhu and Mitchell D. Swanson and Ahmed H. Tewfik},
title = {Transparent robust authentication and distortion measurement technique for images},
booktitle = {7th IEEE Digital Signal Processing Workshop},
year = {1996},
pages = {45--48}
}
Years of Citing Articles
Abstract:
We propose a novel scheme to embed an invisible signature into an image to check image integrity and measure its distortion. The technique is based on the pseudo noise sequences and visual masking effects. The values of an image are modified by a pseudo noise signature which is shaped by the perceptual thresholds from masking effects. The method is robust and can gauge errors accurately up to half of the perceptual thresholds. It also readily identifies large image distortion. Experimental results after applying JPEG and white noise to the image are also reported.
Citations
| 77 | Contrast masking in human vision – Legge, E, et al. - 1980 |
| 32 | A visual model weighted cosine transform for image compression and quality assessment – Nill - 1985 |
| 25 | The information theoretical significance of spatial and temporal masking in video signals – Girod - 1989 |
| 1 | Transparent Robust Image Watermarking," to appear – Swanson, Zhu, et al. - 1996 |
| 1 | Authentication of Digital Medical Images with – Smith - 1995 |
| 1 | Low Bitrate Near-Transparent Image – Zhu, Tewfik, et al. - 1995 |
