Proceedings ArticleDOI
Laplacian-guided image decolorization
Cosmin Ancuti,Codruta Orniana Ancuti +1 more
- pp 4107-4111
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TLDR
A novel decolorization strategy built on image fusion principles that blends the three color channels R, G, B guided by two weight maps that filter the local transitions and measure the dominant values of the regions using the Laplacian information.Abstract:
In this paper we introduce a novel decolorization strategy built on image fusion principles. Decolorization (color-to-grayscale), is an important transformation used in many monochrome image processing applications. We demonstrate that aside from color spatial distribution, local information plays an important role in maintaining the discriminability of the image conversion. Our strategy blends the three color channels R, G, B guided by two weight maps that filter the local transitions and measure the dominant values of the regions using the Laplacian information. In order to minimize artifacts introduced by the weight maps, our fusion approach is designed in a multi-scale fashion, using a Laplacian pyramid decomposition. Additionally, compared with most of the existing techniques our straightforward technique has the advantage to be computationally effective. We demonstrate that our technique is temporal coherent being suitable to decolorize videos. A comprehensive qualitative and also quantitative evaluation based on an objective visual descriptor demonstrates the utility of our decolorization technique.read more
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An Adaptive Exposure Fusion Method Using fuzzy Logic and Multivariate Normal Conditional Random Fields.
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References
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Journal ArticleDOI
The Laplacian Pyramid as a Compact Image Code
Peter J. Burt,Edward H. Adelson +1 more
TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Book
Color Science. Concepts and Methods, Quantitative Data and Formulas
TL;DR: An encyclopedic survey of color science can be found in this article, which includes details of light sources, color filters, physical detectors of radiant energy, and the working concepts in color matching, discrimination, and adaptation.
Journal ArticleDOI
Interactive digital photomontage
Aseem Agarwala,Mira Dontcheva,Maneesh Agrawala,Steven M. Drucker,Alex Colburn,Brian Curless,David Salesin,Michael Cohen +7 more
TL;DR: The framework makes use of two techniques primarily: graph-cut optimization, to choose good seams within the constituent images so that they can be combined as seamlessly as possible; and gradient-domain fusion, a process based on Poisson equations, to further reduce any remaining visible artifacts in the composite.
Proceedings ArticleDOI
Enhanced image capture through fusion
Peter J. Burt,R.J. Kolczynski +1 more
TL;DR: The authors present an extension to the pyramid approach to image fusion that provides greater shift invariance and immunity to video noise, and provides at least a partial solution to the problem of combining components that have roughly equal salience but opposite contrasts.
Journal ArticleDOI
Color Science, Concepts and Methods. Quantitative Data and Formulas
TL;DR: The authors' aim has been to provide a comprehensive source book of data required by the practical and theoretical worker in the field of colour and they have achieved this aim so successfully that their book is likely to become the standard work on the subject and to remain so for a good many years.