Pixel classified colourisation method based on neighbourhood similarity priori Online publication date: Fri, 28-Sep-2018
by Jie Chen; Zongliang Gan; Xiuchang Zhu; Jin Wang
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 12, No. 3, 2018
Abstract: Colourisation is a kind of computer-aided technology which automatically adds colours to greyscale images. This paper presents a scribble-based colourisation method which treats the flat and edge pixels differently. First, we classify the pixels to flat or edge pixel categories using the neighbourhood similarity pixels searching algorithm. Then, we compute the weighted coefficients of the edge pixels by solving a constraint quadratic programming problem and compute the weighted coefficients of the flat pixels based on their luminance distances. Finally, we transmit the weighted coefficients to the chrominance images according to the joint correlation property between luminance and chrominance channels, and combine with the colours scribbled on by the user to compute all the unknown colours. The experimental results show that our method is effective especially on reducing colour bleeding in the boundary parts and can give better results when only a few colours are scribbled on.
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