Evaluation of Digital Image Generation Based on Virtual Interaction Design under Blockchain Technology

With the rapid development of current technology, computer vision technology has also achieved better development, providing more possibilities for digital image generation. However, traditional digital image generation methods have high operational requirements for designers due to difficulties in...

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Vydáno v:Symmetry (Basel) Ročník 15; číslo 7; s. 1406
Hlavní autor: Cao, Yiwen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.07.2023
Témata:
Algorithms
Blockchain
Computer vision
Cryptography
Datasets
Design
Design optimization
Digital imaging
Efficiency
Electronic games
Image processing
Image quality
Machine vision
Methods
NMR
Nuclear magnetic resonance
Optimization techniques
Software
Virtual reality
ISSN:2073-8994, 2073-8994
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Shrnutí:With the rapid development of current technology, computer vision technology has also achieved better development, providing more possibilities for digital image generation. However, traditional digital image generation methods have high operational requirements for designers due to difficulties in collecting data sets and simulating environmental scenes, which results in poor quality, lack of diversity, and long generation speed of generated images, making it difficult to meet the current needs of image generation. In order to better solve these problems and promote the better development of digital image generation, this paper introduced a virtual interaction design under current popular blockchain technology in image generation, built a generative model through the virtual interaction design under the blockchain technology, optimized the image generation, and verified it in practice. The research results show that the digital image generation number of the method in this paper is 641. This indicates that method generates more images, has better diversity in digital image generation, and better image quality. Compared to other digital image generation methods, this method can better meet the needs of high-quality and diverse images, better adapt to the needs of different image generation, and is of great significance for promoting the better development of image generation.
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ISSN:2073-8994
2073-8994
DOI:10.3390/sym15071406