ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Automatic Selection of Color Reference Image for Panoramic Stitching
Cited 9 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
Authors
Muhammad Twaha Ibrahim, Rehan Hafiz, Muhammad Murtaza Khan, Yongju Cho
Issue Date
2016-06
Citation
Multimedia Systems, v.22, no.3, pp.379-392
ISSN
0942-4962
Publisher
Springer
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1007/s00530-015-0467-4
Project Code
14ZR1100, 휴먼융합형 파노라마 기술 개발, Cha Jihun
Abstract
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.
KSP Keywords
Color correction, High-resolution, Image Contrast, Non-Parametric, Panoramic image, Panoramic stitching, Pre-processing, Quantitative Metrics, Reference Image, Structure Similarity Index measure(SSIM), automatic selection