Nonlinear multiresolution image blending

Authors:
Mark Grundland;Rahul Vohra;Gareth P. Williams;Neil A. Dodgson
Affiliations:
Computer Laboratory, University of Cambridge, United Kingdom;Computer Laboratory, University of Cambridge, United Kingdom;Computer Laboratory, University of Cambridge, United Kingdom;Computer Laboratory, University of Cambridge, United Kingdom
Venue:
Machine Graphics & Vision International Journal
Year:
2006

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Abstract

We study contrast enhancement for multiresolution image blending. In image compositing, image stitching, and image fusion, a blending operator combines coefficients of a pixel array, an image pyramid, a wavelet decomposition, or a gradient domain representation. Linear interpolation reduces variation and thereby causes contrast loss, while coefficient selection increases variation and thereby causes color distortion. Offering a continuous range of possibilities between these standard alternatives, the signed weighted power mean enables the user to calibrate the contrast of composite images.