Multiresolution Approach to Subpixel Registration by Linear Approximation of PSF

Linear approximation of point spread function (PSF) is a new method for determining subpixel translations between images. The problem with the actual algorithm is the inability of determining translations larger than 1 pixel. In this paper a multiresolution technique is proposed to deal with the problem. Its performance is evaluated by comparison with two other well known registration method. In the proposed technique the images are downsampled in order to have a wider view. Progressively decreasing the downsampling rate up to the initial resolution and using linear approximation technique at each step, the algorithm is able to determine translations of several pixels in subpixel levels. Keywords--Point Spread Function, Subpixel translation, Superresolution, Multiresolution approach.

• Type: Conference
• Year: 2004
• Where: IJIT
• Authors: Erol Seke, Kemal Özkan
• Keywords: Artificial Intelligence, IJIT 2004, Linear Approximation, Spread Function, Subpixel Translation