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Optimal Colourization For Greyscale Images

机译:灰度图像的最佳色彩化

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This paper proposes a user friendly interactive colourization system that utilizes iterative region expansion and linear programming to carry out colourization. The region corresponding to each scribbled colour is iteratively expanded using a sequence of increasing threshold values. Usually a few pixels remain unassigned to any colour region after this stage, each of which is then simply assigned to the nearest region based on an intrinsic distance measure. The optimal colours for the brightest pixel and the darkest pixel in each region are determined by employing linear programming, and then the whole region is colourized using linear interpolation. The proposed system provides several colourization modes users can select from. The user simply needs to scribble on the given greyscale image and select the colouring mode they want. The experimental results show that the proposed system provides natural and satisfactory colouring results.
机译:本文提出了一种用户友好的交互式着色系统,该系统利用迭代区域扩展和线性编程来进行着色。使用一系列增加的阈值来迭代扩展与每个涂色相对应的区域。通常,在此阶段之后,几个像素仍未分配给任何颜色区域,然后根据内部距离度量将每个像素简单分配给最近的区域。通过使用线性编程确定每个区域中最亮像素和最暗像素的最佳颜色,然后使用线性插值对整个区域着色。拟议的系统提供了几种可供用户选择的着色模式。用户只需要在给定的灰度图像上涂抹并选择他们想要的着色模式。实验结果表明,所提出的系统提供了自然而令人满意的着色结果。

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