Locally Adaptive Wavelet-Based Image Interpolation

We describe a spatially adaptive algorithm for image interpolation. The algorithm uses a wavelet transform to extract information about sharp variations in the low-resolution image and then implicitly applies interpolation which adapts to the image local smoothness/singularity characteristics. The proposed algorithm yields images that are sharper compared to several other methods that we have considered in this paper. Better performance comes at the expense of higher complexity.


Published in:
IEEE Transactions on Image Processing, 15, 6, 1471-1485
Year:
2006
ISSN:
1057-7149
Keywords:
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 Record created 2010-08-16, last modified 2018-09-13

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