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

Zhe Wang

doi: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

Highlights

There are many ways for humans to transmit information, but the most intuitive and important way is to use images [1, 2]
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
In order to achieve a better image fusion effect, it is necessary to denoise the low dynamic range image sequences acquired under different exposures before having them processed by the multi-exposure fusion algorithm

Summary

Introduction

There are many ways for humans to transmit information, but the most intuitive and important way is to use images [1, 2]. In terms of image fusion, some researchers have designed a new parallel optimization scheme for the algorithm in response to the problem of unbalanced load in the implementation of the face detection technology [13]. Optimization methods such as coarse-grained parallelism, dynamic mapping of threads and data, and global and local queues have significantly improved the performance of the algorithm implemented on the central processing unit [14, 15]. 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

Parallel acceleration technology for image processors

Image multi-exposure fusion algorithm

Current status of art design education and existing problems

Analysis on the innovation teaching in art design education

Design and implement summative evaluation

Conclusion