  The Modulation Transfer Function (MTF) and the Noise Power Spectrum (NPS)
characterize imaging system sharpness/resolution and noise, respectively. Both
measures are based on linear system theory but are applied routinely to systems
employing non-linear, content-aware image processing. For such systems,
MTFs/NPSs are derived inaccurately from traditional test charts containing
edges, sinusoids, noise or uniform tone signals, which are unrepresentative of
natural scene signals. The dead leaves test chart delivers improved
measurements, but still has limitations when describing the performance of
scene-dependent systems. In this paper, we validate several novel
scene-and-process-dependent MTF (SPD-MTF) and NPS (SPD-NPS) measures that
characterize, either: i) system performance concerning one scene, or ii)
average real-world performance concerning many scenes, or iii) the level of
system scene-dependency. We also derive novel SPD-NPS and SPD-MTF measures
using the dead leaves chart. We demonstrate that all the proposed measures are
robust and preferable for scene-dependent systems than current measures.
