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학술지 Automatic Selection of Color Reference Image for Panoramic Stitching
Cited 8 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
저자
Muhammad Twaha Ibrahim, Rehan Hafiz, Muhammad Murtaza Khan, 조용주
발행일
201606
출처
Multimedia Systems, v.22 no.3, pp.379-392
ISSN
0942-4962
출판사
Springer
DOI
https://dx.doi.org/10.1007/s00530-015-0467-4
협약과제
14ZR1100, 휴먼융합형 파노라마 기술 개발, 차지훈
초록
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.
키워드
Color correction, Image registration, Image stitching, Panorama generation, Reference image selection
KSP 제안 키워드
Color correction, High-resolution, Image Contrast, Image Stitching, Image selection, Non-Parametric, Panoramic image, Panoramic stitching, Pre-processing, Quantitative Metrics, Reference Image