Image Scaling & Log-Polar Interpolation

This paper proposes a bio-inspired interpolation algorithm
suitable for image scaling. A log-polar neighbor model is adopted,
utilizing the feature of applying larger weights to pixels at the cen-
ter of the interpolation region and logarithmically decreasing weights
to pixels away from the center. The interpolation is performed in the
Cartesian plane without requiring the full transformation of the image
to the log-polar plane. Experiments show that in both visual compar-
isons and quantitative analysis, the results extracted by the proposed
log-polar neighbor model are better than those extracted from pixel
repetition, bilinear and bicubic interpolation