Image Recoloring for

Color-Vision Deficients


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Here we present an efficient and automatic image-recoloring technique for dichromats that highlights important visual details that would otherwise be unnoticed by these individuals. The technique described here preserves, as much as possible, the naturalness of the original colors, and is about three orders of magnitude faster than previous approaches. We also present an efficient contrast-enhancement algorithm for color-to-grayscale image conversion that uses both luminance and chrominance information.

The main contributions of this work include:

  1. A new efficient and automatic image-recoloring technique for dichromats that preserves,
    as much as possible, the naturalness of the original colors. An extension of this technique that exaggerates color contrast and might be useful for visualization of scientific data as well as maps and charts;
  2.  A new efficient contrast-enhancement algorithm for color-to-grayscale image conversion
    that uses both luminance and chrominance information;
  3.  A new contrast error metric for evaluating the quality of color-to-gray transformations.


Journal Papers

Kuhn, G.R.; Oliveira, M.M; Fernandes, L.A.F. An efficient naturalness-preserving image-recoloring method for dichromats. IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 14:6, 2008. pp. 1747-1754. DOI, Extra, Video



Kuhn, G.R.; Oliveira, M.M; Fernandes, L.A.F. An improved contrast enhancing approach for color-to-grayscale mappings. The Visual Computer (TVCJ), Springer-Verlag, 24:7-9, 2008. pp. 505-514. DOI, Video


Master Thesis

Kuhn, G.R. Image Recoloring for Color-Vision Deficients. Master's Thesis, under supervision of professor Manuel Menezes de Oliveira Neto, Ph.D. PPGC-UFRGS, April, 2008.