Easing function as a tool of color correction for display stitching in virtual reality

Abstract

For many multimedia applications, the image stitching problem is very important. We analyzed this problem for the SEMI-CAVE virtual reality installation. In this study, we aim to analyze the manner in which color changes for correcting image stitching with regard to human perception (subjective evaluation of stitching quality). We propose to use Penner’s easing function for changing color of image stitching and obtain a proper perceptual transition of color. A series of experiments were conducted in the SEMI-CAVE environment. 27 participants assessed the quality of the black-to-white transition realized using 7 different Penner’s functions. The participants assessed the smoothness of the transition and the occurrence of perceptual artifacts. The analysis of the experimental results showed that the InOutSine function provides the best perceptual effects. Moreover, the obtained results (ranking of functions from the best to the worst) were statistically confirmed using Chi-square analysis.