Automatic reference selection for parametric color correction schemes for panoramic video stitching

Abstract

Panoramic views enhance the immersive visual experience by providing seamless high resolution image formed by stitching multiple low resolution images or videos. Color correction is a fundamental step in this process that operates to match the color of individual views with each other. Typically, one arbitrary view is taken as a reference and colors of the remaining views are matched to the reference view. This paper presents a scheme for automated selection of a reference image that results in a high contrast, visually appealing stitched panorama. The scheme is computationally efficient and applicable to a broad range of global parametric color correction schemes. © 2012 Springer-Verlag.