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The geometric remapping of pixel values during the processing of digital imagery, such as magnification, warping and registration, can significantly affect the final image quality. Many medical imaging systems include a resampler/interpolator, such as bicubic, as part of their processing, that acts as a variable low pass filter. This not only degrades the spatial frequency response of the image and...
Resampling is a necessary step at the interface of systems that require different sampling rates. Several techniques have been proposed in the literature to perform resampling. We perform a comparative study of the results of some interpolation and resampling techniques for speech and audio signals. The techniques are compared on the basis of quality of reconstruction and computational cost. We consider...
In this paper, successfully we had implemented Fant's resampling algorithm by using cubic convolution for resampling the images that consists two passes. It does not exhibit the aliasing artifacts associated with techniques for spatial transform of discrete sampled images is possible through the use of a complete and continuous resampling interpolation algorithm. Applications to image processing include...
The traditional approach to image interpolation is by synthesis using basis functions because of its computational simplicity and experience-proven quality of the result. We offer an alternative approach to designing the basis (interpolation kernels), using least-squares optimisation and image models that encompass the prior knowledge. In this paper we consider and derive a finite-support interpolation...
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