A Cockpit of Measures for Image Quality Assessment in Digital Film Restoration

We present an alternative approach for the quality assessment of the digital restoration of a degraded film. Instead of summarizing the film quality by an unique value, here we propose a set of basic measures that account for different film visual features. These measures describe over time global and local properties of the film, like brightness, contrast, color distribution entropy, color variations and perceptual intra-frame color changes. They are relevant to estimate the level of readability of the visual content of the film and to quantify the perceptual differences between the original and restored film. The measures proposed here are viewed as the parameters showed in a car or airplane cockpit and necessary to control the machine status and performance. The idea of cockpit would like to contribute to the automation of the digital restoration process and of its evaluation that are currently still performed for the most part manually by video editors and curators and thus often biased by subjective issues.