Skip to content
Free planNo credit card requiredStart writing

conference paper · International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) · 2026

Image Processing Method of Multimedia Artistic Creation based on Multi-Modal Data Fusion

Shengtao Gao

Cited by 0Open access

Abstract

Due to the repeated smoothing, denoising and enhancing processes in multimedia artistic creation, twodimensional artistic image smoothing will appear repeated distortion, detail loss and uncertain visual quality when singlemodal data are processed. Therefore, this paper studies an image-processing method based on multimodal data fusion. That is, fusing image data from multiple sources in the data level to reserve original visual information, and combining edge detection, smoothing and denoising into one optimization process. In addition, total variation based variational model is applied to restrain data fidelity and regularization to suppress noise, meanwhile, it can preserve texture and edge information. The comparison experiment on the image with different resolution shows that, compared with the traditional processor, the proposed processor can improve smoothing efficiency, decrease image loss by 1.7-1.9 and increase the maximum value of PSNR by 4.97. The proposed method enhances processing stability and image fidelity, and provides technical support for multimedia artistic image optimization in practical multimedia art creation and application.

Cite this paper

APA 7

Gao, S. (2026). Image Processing Method of Multimedia Artistic Creation based on Multi-Modal Data Fusion. International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 1–6. https://doi.org/10.1109/icdcece68961.2026.11645817

MLA 9

Gao, Shengtao. “Image Processing Method of Multimedia Artistic Creation based on Multi-Modal Data Fusion.” International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2026, pp. 1–6, https://doi.org/10.1109/icdcece68961.2026.11645817.

Chicago

Gao, Shengtao. 2026. “Image Processing Method of Multimedia Artistic Creation based on Multi-Modal Data Fusion.” International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE): 1–6. https://doi.org/10.1109/icdcece68961.2026.11645817.

Harvard

Gao, S. (2026) ‘Image Processing Method of Multimedia Artistic Creation based on Multi-Modal Data Fusion’, International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), pp. 1–6. Available at: https://doi.org/10.1109/icdcece68961.2026.11645817.

BibTeX
@article{gao2026image,
  title = {{Image Processing Method of Multimedia Artistic Creation based on Multi-Modal Data Fusion}},
  author = {Gao, Shengtao},
  journal = {International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)},
  pages = {1--6},
  year = {2026},
  doi = {10.1109/icdcece68961.2026.11645817}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Image fusion for art analysis

Barbara Zitová, Miroslav Beneš, Jan Blažek · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011

Cited by 9Open access