IEEE Trans Image Process - Nonlocal image editing.

Tópicos

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{ framework(1458) process(801) describ(734) }
{ imag(2675) segment(2577) method(1081) }
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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

In this paper, we introduce a new image editing tool based on the spectrum of a global filter computed from image affinities. Recently, it has been shown that the global filter derived from a fully connected graph representing the image can be approximated using the Nystr?m extension. This filter is computed by approximating the leading eigenvectors of the filter. These orthonormal eigenfunctions are highly expressive of the coarse and fine details in the underlying image, where each eigenvector can be interpreted as one scale of a data-dependent multiscale image decomposition. In this filtering scheme, each eigenvalue can boost or suppress the corresponding signal component in each scale. Our analysis shows that the mapping of the eigenvalues by an appropriate polynomial function endows the filter with a number of important capabilities, such as edge-aware sharpening, denoising, tone manipulation, and abstraction, to name a few. Furthermore, the edits can be easily propagated across the image.

Resumo Limpo

paper introduc new imag edit tool base spectrum global filter comput imag affin recent shown global filter deriv fulli connect graph repres imag can approxim use nystrm extens filter comput approxim lead eigenvector filter orthonorm eigenfunct high express coars fine detail under imag eigenvector can interpret one scale datadepend multiscal imag decomposit filter scheme eigenvalu can boost suppress correspond signal compon scale analysi show map eigenvalu appropri polynomi function endow filter number import capabl edgeawar sharpen denois tone manipul abstract name furthermor edit can easili propag across imag

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