Application of Dynamic Image Fusion Technology in Development of Innovation Capabilities of College Students Majoring in Art Design

Authors

  • Zhe Wang School of Arts, Jiaozuo University, Jiaozuo 454000, China

DOI:

https://doi.org/10.3991/ijet.v16i13.24043

Abstract


Art design is based on art and images, in which dynamic images require pre-processing and fusion. This paper explores how to apply the dynamic image fusion technology in the development of the innovation capabilities of college students majoring in art design. The research results show that image sequences with different exposures can be directly formed into low dynamic range images through multi-exposure fusion, or the high dynamic range can be restored first, and then converted to a low dynamic range image through tone mapping. The main principles for innovation development in art design education include conformity, student-centeredness, and overall optimization. The dynamic image fusion enhancement algorithm is mainly divided into five functional modules, which are used to calculate multi-scale gradient, structure tensor, and target gradient for the fused image, solve the steepest descent method and output normalized images, respectively

Author Biography

Zhe Wang, School of Arts, Jiaozuo University, Jiaozuo 454000, China

Zhe Wang is a lecturer in School of Arts, Jiaozuo University,Han nationality, majoring in art design theory, member of Jiaozuo Art Design Association. wz15839128961@163.com

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Published

2021-07-13

How to Cite

Wang, Z. (2021). Application of Dynamic Image Fusion Technology in Development of Innovation Capabilities of College Students Majoring in Art Design. International Journal of Emerging Technologies in Learning (iJET), 16(13), pp. 55–67. https://doi.org/10.3991/ijet.v16i13.24043

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Section

Papers