When sampling a continuous image or subsampling a discrete image, aliasing artifacts can be controlled by filtering the data prior to sampling. Bandlimiting filters completely avoid aliasing artifacts, but have to find a compromise between blur and ringing artifacts. In this paper, we propose a new joint definition of blur/ringing artifacts, that associates to a given bandlimited prefilter its so-called spread-ringing curve. We then build a set of filters yielding the optimal blur/ringing compromise according to the previous definition. We show on experiments that such filters yield sharper images for a given level of ringing artifact.