Adaptive Pseudocoloring Method based on Color Image Scale for Emotional Art Image
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Abstract
Color can dramatically affect and arouse the emotions. In this paper, we propose a pseudocoloring method by applying the color psychology of color image scale to create an emotional art image. The proposed technique utilizes two key color groups, image segmentation, shape-preserving piecewise cubic Hermite interpolation with uniform lightness difference, Gaussian filter and morphological gradient to develop an adaptive color mapping of grayscale image. The key color groups of the desired emotion are extracted from the color image scale and the color map is generated from the interpolation results in CIELAB color space for each key color group to the segmented area. The simulation results show that the smooth gradient of key colors impressively transfers an implicative emotion of the image. In addition, soft transition between key color groups by smoothing at the edge of segmented area makes the image more artistic appeal. The emotional art image of the proposed pseudocoloring method could enrich the digital decoration and color therapy in both artifactual and natural images.
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