This paper examines the spatial resolution properties of penalized-lik
elihood image reconstruction methods by analyzing the local impulse re
sponse. The analysis shows that standard regularization penalties indu
ce space-variant local impulse response functions, even for space-inva
riant tomographic systems, Paradoxically, for emission image reconstru
ction, the local resolution is generally poorest in high-count regions
. We show that the linearized local impulse response induced by quadra
tic roughness penalties depends on the object only through its project
ions. This analysis leads naturally to a modified regularization penal
ty that yields reconstructed images with nearly uniform resolution. Th
e modified penalty also provides a very practical method for choosing
the regularization parameter to obtain a specified resolution in image
s reconstructed by penalized-likelihood methods.