Application of Digital Image Based on Machine Learning in Media Art Design

Abstract

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 neural network is proposed. Supervised training of convolutional neural networks requires predetermining the input and target output of the network, namely, integer image and fractional image in this paper. To solve the problem that the subpixel sample cannot be obtained, this paper first analyzes the imaging principle of digital image and proposes a subpixel sample generation algorithm based on Gaussian low-pass filter and polyphase sampling. From the perspective of rate distortion optimization, the purpose of pixel motion compensation is to improve the accuracy of interframe prediction. Therefore, this paper defines pixel motion compensation as an interframe regression problem, that is, the mapping process of the reference image integral pixel sample to the current image sample to be encoded. In this paper, a generalized partial-pixel interpolation model is proposed for bidirectional prediction. The partial-pixel interpolation of bidirectional prediction is regarded as a binary regression model; that is, the integral pixel reference block in two directions is mapped to the current block to be coded. It further studies how to apply the trained digital images to media art design more flexibly and efficiently.

Optimization of Digital Media Art Creation Process Based on Dual Transformer Residual Network (DTRN) and Lotus Effect Optimization Algorithm (LEA)

“…Wu [19] have introduced a CNN-based partial-pixel interpolation method. By using supervised training, this method calls for the input and output targets of the network, commonly referred to as the fractional and integer pictures, should be predetermined.…”

Spatial Design Research on Digital Media Technology Intervention in Immersive Art Theory Exhibition Venues

“…Eq. (11) gives another way to describe the basis matrix, i.e., no projection matrix is needed; only the corresponding points between two images are needed to derive the basis matrix. In the following, we use the eight-point Algorithm to calculate the basis matrix according to Eq.…”

“…Nowadays, with the continuous progress of our country's science and technology, the spatial design of the exhibition venues also uses new media technology to achieve the traditional integration of venue design and technology innovation [10][11]. Most of the spatial design of the exhibition venues in a specific time and space within the language of art on the design of the space [12].…”

Aided Recognition and Training of Music Features Based on the Internet of Things and Artificial Intelligence

“…Recall rate e recall rate standard refers to the proportion of the theoretically largest number of hits that recognize musical characteristics [25] 8 and 9.…”