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Segmentation and estimation of spatially varying illumination

Gu, Lin; Huynh, Cong; Robles-Kelly, Antonio


In this paper, we present an unsupervised method for segmenting the illuminant regions and estimating the illumination power spectrum from a single image of a scene lit by multiple light sources. Here, illuminant region segmentation is cast as a probabilistic clustering problem in the image spectral radiance space. We formulate the problem in an optimization setting, which aims to maximize the likelihood of the image radiance with respect to a mixture model while enforcing a spatial smoothness...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: IEEE Transactions on Image Processing
DOI: 10.1109/TIP.2014.2330768


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