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Method and system for color representation generation

專利號
US11176715B2
公開日期
2021-11-16
申請人
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO(CA Toronto)
發(fā)明人
Maria Shugrina; Amlan Kar; Sanja Fidler; Karan Singh
IPC分類
G06T11/00; G06T15/50; G06T11/40
技術(shù)領(lǐng)域
color,sail,colors,in,image,neural,sails,alpha,patchwork,masks
地域: Toronto

摘要

There is provided a system and method for color representation generation. In an aspect, the method includes: receiving three base colors; receiving a patchwork parameter; and generating a color representation having each of the three base colors at a vertex of a triangular face, the triangular face having a color distribution therein, the color distribution discretized into discrete portions, the amount of discretization based on the patchwork parameter, each discrete portion having an interpolated color determined to be a combination of the base colors at respective coordinates of such discrete portion. In further aspects, one or more color representations are generated based on an input image and can be used to modify colors of a reconstructed image.

說明書

In yet another case, the respective coordinates of the discrete portion comprise barycentric coordinates of the discrete portion with respect to the vertices, and the coordinates of a focal point comprise barycentric coordinates of the focal point with respect to the vertices.

In yet another case, blending interpolation is biased toward colors closest to the focal point.

In yet another case, the modification of the blending behavior uses a cubic Bezier triangle.

In another aspect, there is provided a computer-implemented method for generating a color representation, the method comprising: receiving an input image; determining a set of input colors in the input image; generating a color representation having a base color at each of three vertices that define a triangular face, the triangular face having a color distribution determined by a set of parameters comprising the base color at each of the three vertices and a patchwork parameter; and using a trained neural network, determining a value for the set of parameters that minimize an error metric between the input colors and the colors in the color distribution.

In a particular case of the method, the set of parameters further comprising a focal point parameter and a wind parameter.

In another case, the color distribution comprises a histogram of bins in Red-Green-Blue (RGB) color space provided as input to the trained neural network.

In yet another case, the bin values are normalized.

In yet another case, input to the trained neural network comprises error metrics on pixel colors in the input image.

權(quán)利要求

1
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