J. Uhlmann, and
IEEE Int. Conf. Image Processing,
We propose a novel image interpolation method for resolution enhancement of still images. The approach consists of a nonlinear mapping from pixel index space to color space based on the low-resolution image so that non-integral pixel indices in a super-sampling can be mapped to colors, i.e.. interpolated. This nonlinear mapping is based on an extensor transformation of 2D pixel indices to an N-dimensional vector space that encodes the Euclidean proximity interrelationships among a neighborhood of N pixels. Experimental results indicate that extensor-based interpolation yields results that are qualitatively superior to classical bilinear and hicubic interpolation, that has important advantages in comparison to edge-directed and optimal-recovery interpolation methods, and that has comparable or lower computational cost.
author = "K. Palaniappan and J. Uhlmann and D. Li",
title = "Extensor based image interpolation",
year = 2003,
booktitle = "IEEE Int. Conf. Image Processing",
volume = 2,
pages = "945--948",
keywords = "image enhancement, denoising, visualization",
doi = "10.1109/ICIP.2003.1246839",
url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1246839"
K. Palaniappan, J. Uhlmann, and D. Li. Extensor based image interpolation. IEEE Int. Conf. Image Processing, volume 2, pages 945--948, 2003.