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Application of Digital Image Based on Machine Learning in Media Art Design
2021
Computational Intelligence and Neuroscience
In digital media art, expressive force is an important art form of media. This paper studies digital images that have the same effect when applied to media art. The research object is media art images, and the application effect of the proposed algorithm is related to the media art images. The development of digital image technology has brought revolutionary changes to traditional media art expression techniques. In this paper, a partial-pixel interpolation technique based on convolutional
doi:10.1155/2021/8546987
pmid:34853587
pmcid:PMC8629670
fatcat:ou52gb6vyjbdzfqhrxcvbw2qmu