Sensitivity Analysis in Image Synthesis

Abstract

Intermediate virtual images are used in the evaluation of disparity estimations. The analysis is based on the effect of disparity inaccuracies in the relative quality of virtual images. The peak-signal-to-noise ratio and the percentage of visual errors are used to assess the quality of virtual images generated with distorted disparity fields. Computer simulation results show that the peak-signal-to-noise ratio is more affected by a small magnitude of perturbations two or three pixels than by a high frequency of perturbations 15% or 20%. However, the percentage of visual errors is more affected by the frequency of perturbations. By using distorted disparity fields, the deterioration in the quality of virtual images is imperceptible to the human eye.