Abstract
Typical problems for creation of consistent underwater mosaic are misalignment and inhomogeneous illumination of the image frames, which causes visible seams and consequently complicates post-processing of the mosaics such as object recognition and shape extraction. Two recently developed image blending methods were explored in the literature: "gradient domain stitching" and "graph-cut" method, and they allow for improvement of illumination inconsistency and "ghosting" effects, respectively. However, due to the specifics of underwater imagery, these two methods cannot be used within a straightforward manner. In this paper, a new improved blending algorithm is proposed based on these two methods. By comparing with the previous methods from a perceptual point of view and as a potential input for pattern recognition algorithms, our results show an improvement in decreasing the mosaic degradation due to feature doubling and rapid illumination change.
Department
Center for Coastal and Ocean Mapping
Publication Date
9-2006
Journal Title
IEEE Oceans
Conference Date
Sep 18 - Sep 22, 2006
Publisher Place
Boston, MA, USA
Publisher
IEEE
Digital Object Identifier (DOI)
10.1109/OCEANS.2006.307037
Document Type
Conference Proceeding
Recommended Citation
Gu, Fan and Rzhanov, Yuri, "Optical Image Blending for Underwater Mosaics" (2006). IEEE Oceans. 372.
https://scholars.unh.edu/ccom/372
Included in
Computer Sciences Commons, Oceanography and Atmospheric Sciences and Meteorology Commons