Image resizing and rotation based on the consistent resampling theory

The recently proposed consistent resampling theory for non-bandlimited signals is applied to image resizing and rotation. Images with high frequency components can be resampled using this scheme to achieve high quality performance. Image resizing is treated as resampling using non-ideal interpolatio...

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Bibliographic Details
Main Authors: Beilei Huang, Lai, E.M.-K., Vinod, A.P.
Format: Conference Proceeding
Language:English
Subjects:
Cathode ray tubes
Computational efficiency
Filters
Image processing
Image reconstruction
Image sampling
Interpolation
Sampling methods
Signal processing
Signal sampling
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Summary:The recently proposed consistent resampling theory for non-bandlimited signals is applied to image resizing and rotation. Images with high frequency components can be resampled using this scheme to achieve high quality performance. Image resizing is treated as resampling using non-ideal interpolation functions. Both zoom in and zoom out by non-integer factors are considered. Image rotation is also formulated as a resampling process. We show that our approach outperforms other linear image processing techniques without increasing the computational cost.
DOI:10.1109/ISPACS.2009.4806742