ALE
Image Processing Software Deblurring, Anti-aliasing, and Superresolution. Local Operation localhost 5393119533 |
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ALE implements an iterative image reconstruction algorithm based on Michal Irani and Shmuel Peleg's paper "Improving Resolution by Image Registration", published in Graphical Models and Image Processing, Vol. 53, No. 3, May, pp. 231-239, 1991, or available at:
http://www.wisdom.weizmann.ac.il/~irani/abstracts/superResolution.html
This algorithm iteratively performs two steps: first, an approximation of T is projected, based on a filter approximating dj, and data collected during alignment, to create a set of simulated input frames; second, the per-pixel error -- between these simulated input frames and the actual input frames -- is calculated, backprojected, and subtracted from the approximation of T, resulting in a new approximation of T.
ALE uses the results of previous rendering steps as the initial image approximation.
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FilterALE's method of transforming pixel areas between coordinate systems approximates transformed pixel boundaries with axis-aligned rectangular regions. Since boundaries are transformed into the coordinate systems of the input frames, this approximation can be improved by using larger scale factors (and hence reducing the size of transformed pixels).
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