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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bailey, D.G. Gilman, A. Browne, R. |
| Copyright Year | 2005 |
| Description | Author affiliation: Inst. of Inf. Sci. & Technol., Massey Univ., Palmerston North (Bailey, D.G.; Gilman, A.; Browne, R.) |
| Abstract | Image registration has application in many image processing tasks. A new gradient-based registration method that uses the bilinear interpolation equation to predict the pixel values of one image from those in a reference image is developed and its bias characteristics analysed. For sinusoidal signals and step edges, the estimated offset is biased towards the nearest reference pixel, however for noise signals, the bias is away from the nearest pixel. Therefore the bias (and registration accuracy) can actually improve with the addition of noise. This phenomenon is demonstrated with two sample images with quite different image statistics. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 509276 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780393112 |
| DOI | 10.1109/TENCON.2005.301116 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-11-21 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Image resolution Pixel Image processing Image sensors Optical sensors Image analysis Signal resolution Optical imaging Image registration imaging model sub-pixel super-resolution |
| Content Type | Text |
| Resource Type | Article |
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