A Multirate Approach to High-Resolution Image Reconstruction
Scrofani, James W.
Therrien, Charles W.
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The paper addresses the problem of reconstructing a highresolution image from a set of observation images sampled at a lower rate and subject to additive noise and distortion. The method introduced here is based on our work in multirate optimal filtering, extended to two dimensions. The linear filters used for the reconstruction are periodically spatially-varying (in 2-D) and chosen so that their regions of support are closest to the point being estimated. Results are presented for images with additive white noise and compared to methods using interpolation.