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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang Xiang-guang |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. of Inf., Qingdao Univ. of Sci. & Technol., Qingdao (Zhang Xiang-guang) |
| Abstract | Super-resolution reconstruction of image is highly dependent on the data outliers. This work addresses the super-resolution reconstruction design of the intersecting cortical model (ICM) algorithm applied to the constrained cubic spline interpolation. Based on a simplification of the pulse-coupled neural network (PCNN), we propose a design strategy to reduce the effects of outliers on the reconstructed image. Intersecting cortical model (ICM) has gained widely research as a new artificial neural network. It derives directly from the studies of the small mammal's visual cortex. Cubic spline interpolation is a useful technique to interpolate between known data points due to its stable and smooth characteristics. Unfortunately it does not prevent the high-frequency information, which is essential for many image processing applications. This article presents a new interpolation method that combines the smooth curve characteristics of spline interpolation, with the non-smoothing behaviour of linear interpolation. The theory analysis and the simulation experiments of the image processing indicate that this kind of super-resolution reconstruction algorithm can not only reduce the effects of outliers effectively but also keep the details of the image sufficiently. |
| Starting Page | 530 |
| Ending Page | 534 |
| File Size | 489354 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769532639 |
| DOI | 10.1109/SNPD.2008.143 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-06 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Nonlinear filter Image resolution Constrained Cubic Spline Interpolation Intersecting Cortical Model Image processing Filtering algorithms High-frequency Information Mathematical model Median filter Spline Equations |
| Content Type | Text |
| Resource Type | Article |
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