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Conference Paper Automatic Reference Selection for Parametric Color Correction Schemes for Panoramic Video Stitching
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Authors
Muhammad Twaha Ibrahim, Rehan Hafiz, Muhammad Murtaza Khan, Yongju Cho, Jihun Cha
Issue Date
2012-07
Citation
International Symposium on Visual Computing (ISVC) 2012 (LNCS 7431), v.7431, pp.492-501
Publisher
Springer
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/978-3-642-33179-4_47
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.
KSP Keywords
Color correction, Computationally Efficient, High contrast, Low-resolution images, Panoramic video, Reference Image, Video Stitching, high resolution image, visual experience