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.
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Ibrahim, M.T., Hafiz, R., Khan, M.M., Cho, Y., Cha, J. (2012). Automatic Reference Selection for Parametric Color Correction Schemes for Panoramic Video Stitching. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33179-4_47
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DOI: https://doi.org/10.1007/978-3-642-33179-4_47
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