With the rapid development of multimedia technology and rising demand for entertainment, comic-styled images are increasingly becoming a necessity of life. Cartoonists can produce comic stylized works by making comic-style modifications to real images, but this is laborious and time-consuming. By extracting the features of comic style paintings, we can analyze the differences of comics relative to real images in terms of contrast, presentation, and color, and thus write computer programs to perform comic stylized processing of images. In this paper, we extract the features of comics and use MATLAB tool to write the corresponding feature transformation program to get the comic stylized images step by step, so as to achieve the effect of fast comic stylization of images. Then the images are selected to validate the program, and the analysis concludes that the program has advantages such as fast and good effect, and also has shortcomings such as elimination of details and single style.

Yuankai Peng. Bilateral Filtering Based Image Cartoon Stylization Design. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 10: 70-77. https://doi.org/10.25236/AJCIS.2022.051012.

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