Charcoal Drawing Style and Color Effect of Children Face Images based on Structural Similarity Index and Color Image Scale

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Kanakarn Ruxpaitoon
Thitiporn Lertrusdachakul
Kasem Thiptarajan

Abstract

Many people love to capture and view children pictures to catch their cute moments. The smile and innocence of children’s faces are very impressive. Therefore, this paper proposes an alternative method to create charcoal drawing style and color effect for children face images. The method applies the structural similarity index (SSIM) of image quality assessment to generate rich black tones automatically. The image is blurred with Gaussian filter to the appropriate level and compared with the original image to obtain the local SSIM values. The blurred level and the weight of neighborhood pixels for estimating local statistics in SSIM quality assessment is controlled by the threshold of the average SSIM value of image detail acquired from the preliminary experiment. The color effect is based on SSIM values and the knowledge of color image scale. The results reveal that the sophisticated intensity of lightness from SSIM map has the power to convey this expressive drawing style emotionally and naturally.

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References

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