Spatially-Variant Roughness Penalty Design for Uniform Resolution in Penalized-Likelihood Image Reco - Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Traditional space-invariant regularization schemes in tomographic image reconstruction using penalizedlikelihood estimators produce images with nonuniform resolution properties. The local point spread functions that quantify the local smoothing properties of such estimators are not only space-variant and asymmetric, but are also object-dependent even for space-invariant systems. We propose a new regularization scheme for increased spatial uniformity and demonstrate the resolution properties of this new method versus conventional regularization schemes through an investigation of local point spread functions.