Radiometric framework for image mosaicking
JOSA A, Vol. 22, Issue 5, pp. 839-848 (2005)
http://dx.doi.org/10.1364/JOSAA.22.000839
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Abstract
Nonuniform exposures often affect imaging systems, e.g., owing to vignetting. Moreover, the sensor's radiometric response may be nonlinear. These characteristics hinder photometric measurements. They are particularly annoying in image mosaicking, in which images are stitched to enhance the field of view. Mosaics suffer from seams stemming from radiometric inconsistencies between raw images. Prior methods feathered the seams but did not address their root cause. We handle these problems in a unified framework. We suggest a method for simultaneously estimating the radiometric response and the camera nonuniformity, based on a frame sequence acquired during camera motion. The estimated functions are then compensated for. This permits image mosaicking, in which no seams are apparent. There is no need to resort to dedicated seam-feathering methods. Fundamental ambiguities associated with this estimation problem are stated.
© 2005 Optical Society of America
OCIS Codes
(040.1490) Detectors : Cameras
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
(110.0110) Imaging systems : Imaging systems
(150.0150) Machine vision : Machine vision
(350.2660) Other areas of optics : Fusion
Citation
Anatoly Litvinov and Yoav Y. Schechner, "Radiometric framework for image mosaicking," J. Opt. Soc. Am. A 22, 839-848 (2005)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-22-5-839
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