Ancuti, Cosmin
Ancuti, Codruta O.
De Vleeschouwer, Christophe
[UCL]
Sbert, Mateu
Decolorization aims at converting color images into grayscale images while preserving their original contrast and color discriminability. In this paper, we introduce an original fusion-based decolorization approach. Our algorithm employs as inputs the three color channels $R$ , $G$ , and $B$ , and an additional input related to the Helmholtz-Kohlrausch effect. To blend those inputs, we adopt a multiscale fusion strategy to prevent the artifacts arising from a pixel-wise application of weight maps and use several weight maps that respectively control saliency, exposure, and saturation. The new operator has been tested successfully on a large data set of both natural and synthetic images. It is competitive compared with modern optimization-based methods in terms of decolorized image visual quality while offering the advantage of being computationally simple, and temporally consistent when decolorizing video sequences.
Bibliographic reference |
Ancuti, Cosmin ; Ancuti, Codruta O. ; De Vleeschouwer, Christophe ; Sbert, Mateu. Decolorization by Fusion. In: IEEE Access, Vol. 6, p. 64071-64084 (2018) |
Permanent URL |
http://hdl.handle.net/2078.1/207712 |