A stochastic model-based approach to image and texture interpolation
We introduce a new exponential-based shift-invariant approach to image interpolation using stochastic modeling. Our model stems from Sobolev reproducing kernels of exponential type, motivated by their role in continuous-domain stochastic autoregressive processes. An algorithm based on these tools is...
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Published in | 2009 16th IEEE International Conference on Image Processing (ICIP) pp. 341 - 344 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2009
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Subjects | |
Online Access | Get full text |
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