Emphasis is often placed on the sample rate or spacing of sampled imagery, with less attention paid to how the output is constructed using the samples. The fidelity of a sampling process, however, depends on the reconstruction method as well as on the sample rate. This paper will discuss the benefits of display processing to improve image quality in sampled sensors. Topics will include: basic sampling theory, the application of Fourier Transforms to sampled imaging systems, the origin of phase artifacts in sampled imagery, and a discussion of the benefits of display processing when using more display pixels than sensor samples. Examples will be shown of images generated using different reconstruction techniques.