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Cartoon Image Processing: A Survey

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Abstract

With the rapid development of cartoon industry, various studies on two-dimensional (2D) cartoon have been proposed for different application scenarios, such as quality assessment, style transfer, colorization, detection, compression, generation and editing. However, there is still a lack of literature to summarize and introduce these 2D cartoon image processing (CIP) works comprehensively. The cartoon images are usually composed of clear lines, smooth color patches and flat backgrounds, which are quite different from natural images. Therefore, based on the characteristics of cartoons, many specific CIP strategies are proposed. Especially with the development of deep learning technology, recent CIP methods have achieved better results than direct application of natural image processing algorithms. Thus, this paper reviews the commonalities and differences of 2D CIP methods according to different scenarios and applications, and focuses on recent deep-learning-based algorithms specifically. In addition, this paper also collects related CIP datasets, conducts experiments for some typical tasks, and discusses the future work.

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Notes

  1. https://github.com/Diya-R/CIP.

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Acknowledgements

This work is supported by the Key R &D and Transformation Program of Qinghai Province No. 2021-GX-111, the Fundamental Research Funds for the Central Universities No. JZ2022HGPA0309, the National Natural Science Foundation of China (Nos. 61972129, 62072013, 62076086) and Shenzhen Cultivation of Excellent Scientific and Technological Innovation Talents RCJC20200714114435057.

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  1. School of Computer and Information, Hefei University of Technology, Danxia Road, Hefei, 230009, China

    Yang Zhao, Diya Ren, Wei Jia & Xiaoping Liu

  2. Peng Cheng Laboratory, Dashi Road, Shenzhen, 518000, China

    Yang Zhao & Ronggang Wang

  3. School of Internet, Anhui University, Feixi Road, Hefei, 230039, China

    Yuan Chen

  4. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, 2199 Lishui Road, Shenzhen, 518055, China

    Ronggang Wang

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Zhao, Y., Ren, D., Chen, Y. et al. Cartoon Image Processing: A Survey. Int J Comput Vis 130, 2733–2769 (2022). https://doi.org/10.1007/s11263-022-01645-1

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