Abstract
The row action projection (RAP) method is used to increase the spatial resolution of images reconstructed via the filtered back projection (FBP) algorithm. An implementation of RAP is introduced which is computationally efficient and facilitates local adaptation of the projection operators. The local mean value as well as minimum and maximum bounds are used as constraints. The method is proposed to provide zoom-in capability, which yields a high-resolution estimate of a specified region of the image. Computer simulations demonstrate the new method to be very effective in recovering high-order spectral components of designated regions of the reconstructed image.
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