Automatic selection of color reference image for panoramic stitching

Color correction is an important step in the generation of high-resolution stitched panoramas. Typically, color correction schemes try to match the color of each image in the panorama to an arbitrarily selected reference image. We provide a scheme that uses quantitative metrics such as image contras...

Full description

Saved in:
Bibliographic Details
Published in:Multimedia systems 2016-06, Vol.22 (3), p.379-392
Main Authors: Ibrahim, Muhammad Twaha, Hafiz, Rehan, Khan, Muhammad Murtaza, Cho, Yongju
Format: Article
Language:English
Subjects:
Computer Communication Networks
Computer Graphics
Computer Science
Cryptology
Data Storage Representation
Operating Systems
Regular Paper
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Color correction is an important step in the generation of high-resolution stitched panoramas. Typically, color correction schemes try to match the color of each image in the panorama to an arbitrarily selected reference image. We provide a scheme that uses quantitative metrics such as image contrast, gradient-based structure similarity index measure (G-SSIM) and color clipping information to automatically select the best reference that results in visually pleasing output panoramas. Quantitative and qualitative evaluation of the scheme show encouraging results for panoramic images as well as for stitched videos. The scheme acts as a pre-processing step to color correction and its applicability to both parametric and non-parametric global color correction schemes has also been demonstrated.
ISSN:0942-4962
1432-1882
DOI:10.1007/s00530-015-0467-4