scholarly journals Design and Reconstruction of Visual Art Based on Virtual Reality

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Bai Yun

Because traditional methods generally lack the image preprocessing link, the effect of visual image detail processing is not good. In order to enhance the image visual effect, a visual art design method based on virtual reality is proposed. Wavelet transform method is used to denoise the visual image and the noise signal in the image is removed; a binary model of fuzzy space vision fusion is established, the space of the visual image is planned, and the spatial distribution information of the visual image is obtained. According to the principle of light and shadow phenomenon in visual image rendering, the Extend Shadow map algorithm is used to render the visual image. Virtual reality technology was used to reconstruct the preprocessed visual image, and the ant colony algorithm was used to optimize the visual image to realize the visual image design. The results show that the peak signal-to-noise ratio of the visual image processed by the proposed method is high, and the image detail processing effect is better.

Author(s):  
Peng Li

In today's society, computer technology has been deeply rooted in the hearts of people. Computers are wonderful tools for creative thinking. It is an extension of our visual function and the function of the visual cortex of the brain. Through this extension, we can see more scenes that we could not see before. As a computer simulation system that creates and feels virtual worlds, 3D digital virtual reality technology uses a computer as a media simulation or a real or imaginary scene. It is a system simulation of interactive 3D dynamic vision and entity behavior based on diversified information fusion. As the creator of visual arts, we must try to observe the world at a deeper level and establish a model that resonates with the viewer. At every level, our technology will convey the way we view the world more deeply. We will be more amazed at the richness of the real world. This chapter explores a visual art design method based on virtual reality.


Author(s):  
Guangchao Zhang ◽  
Xinyue Kou

In recent years, with the rapid development of VR technology, its application range gradually involves the field of urban landscape design. VR technology can simulate complex environments, breaking through the limitations of traditional environmental design on large amounts of information processing and rendering of renderings. It can display complex and abstract urban environmental design through visualization. With the support of high-speed information transmission in the 5G era, VR technology can simulate the overall urban landscape design by generating VR panoramas, and it can also bring the experiencer into an immersive and interactive virtual reality world through VR video Experience. Based on this, this article uses the 5G virtual reality method in the new media urban landscape design to conduct research, aiming to provide an urban landscape design method with strong authenticity, good user experience and vividness. This paper studies the urban landscape design method in the new media environment; in addition, how to realize the VR panorama in the 5G environment, and also explores the image design of each node in the city in detail; and uses the park design in the city As an example, the realization process of the entire virtual reality is described in detail. The research in this article shows that the new media urban landscape design method based on 5G virtual reality, specifically to the design of urban roads, water divisions, street landscapes, and people’s living environment, makes the realization of smart cities possible.


2011 ◽  
Vol 128-129 ◽  
pp. 181-184
Author(s):  
You Lian Zhu ◽  
Cheng Huang

Design of morphological filter greatly depends on morphological operations and structuring elements selection. A filter design method used median closing morphological operation is proposed to enhance the image denoising ability and the PSO algorithm is introduced for structural elements selecting. The method takes the peak value signal-to-noise ratio (PSNR) as the cost function and may adaptively build unit structuring elements with zero square matrix. Experimental results show the proposed method can effectively remove impulse noise from a noisy image, especially from a low signal-to-noise ratio (SNR) image; the noise reduction performance has obvious advantages than the other.


2021 ◽  
Vol 17 (6) ◽  
pp. 564-575
Author(s):  
Irina I. Rutsinskaya

An artist who finds themselves in the last days of a war in the enemy’s defeated capital may not just fix its objects dispassionately. Many factors influence the selection and depicturing manner of the objects. One of the factors is satisfaction from the accomplished retribution, awareness of the historical justice triumph. Researchers think such reactions are inevitable. The article offers to consider from this point of view the drawings created by Soviet artists in Berlin in the spring and summer of 1945. Such an analysis of the German capital’s visual image is conducted for the first time. It shows that the above reactions were not the only ones. The graphics of the first post-war days no less clearly and consistently express other feelings and intentions of their authors: the desire to accurately document and fix the image of the city and some of its structures in history, the happiness from the silence of peace, and the simple interest in the monuments of European art.The article examines Berlin scenes as evidences of the transition from front-line graphics focused on the visual recording of the war traces to peacetime graphics; from documentary — to artistry; from the worldview of a person at war — to the one of a person who lived to victory. In this approach, it has been important to consider the graphic images of Berlin in unity with the diary and memoir texts belonging to both artists and ordinary soldiers who participated in the storming of Berlin. The combination of verbal and visual sources helps to present the German capital’s image that existed in the public consciousness, as well as the specificity of its representation by means of visual art.


2021 ◽  
Author(s):  
Janis Heuel ◽  
Wolfgang Friederich

<p>Over the last years, installations of wind turbines (WTs) increased worldwide. Owing to<br>negative effects on humans, WTs are often installed in areas with low population density.<br>Because of low anthropogenic noise, these areas are also well suited for sites of<br>seismological stations. As a consequence, WTs are often installed in the same areas as<br>seismological stations. By comparing the noise in recorded data before and after<br>installation of WTs, seismologists noticed a substantial worsening of station quality leading<br>to conflicts between the operators of WTs and earthquake services.</p><p>In this study, we compare different techniques to reduce or eliminate the disturbing signal<br>from WTs at seismological stations. For this purpose, we selected a seismological station<br>that shows a significant correlation between the power spectral density and the hourly<br>windspeed measurements. Usually, spectral filtering is used to suppress noise in seismic<br>data processing. However, this approach is not effective when noise and signal have<br>overlapping frequency bands which is the case for WT noise. As a first method, we applied<br>the continuous wavelet transform (CWT) on our data to obtain a time-scale representation.<br>From this representation, we estimated a noise threshold function (Langston & Mousavi,<br>2019) either from noise before the theoretical P-arrival (pre-noise) or using a noise signal<br>from the past with similar ground velocity conditions at the surrounding WTs. Therefore, we<br>installed low cost seismometers at the surrounding WTs to find similar signals at each WT.<br>From these similar signals, we obtain a noise model at the seismological station, which is<br>used to estimate the threshold function. As a second method, we used a denoising<br>autoencoder (DAE) that learns mapping functions to distinguish between noise and signal<br>(Zhu et al., 2019).</p><p>In our tests, the threshold function performs well when the event is visible in the raw or<br>spectral filtered data, but it fails when WT noise dominates and the event is hidden. In<br>these cases, the DAE removes the WT noise from the data. However, the DAE must be<br>trained with typical noise samples and high signal-to-noise ratio events to distinguish<br>between signal and interfering noise. Using the threshold function and pre-noise can be<br>applied immediately on real-time data and has a low computational cost. Using a noise<br>model from our prerecorded database at the seismological station does not improve the<br>result and it is more time consuming to find similar ground velocity conditions at the<br>surrounding WTs.</p>


2019 ◽  
Vol 44 (3) ◽  
pp. 36-39
Author(s):  
Liang Zhang

To achieve the most intuitive display of interior design effect, the concept, characteristics, expression mode, application scope and basic types of virtual reality display design are expounded from the perspective of three dimension (3d) virtual reality technology, and the advantages and disadvantages of 3d modeling speed and panoramic visualization display are analyzed. The results show that through this research and practice, a series of 3d production techniques for interior design space, such as mapping technology, lighting technology, modeling technology, etc., are summarized. These technologies can effectively make use of ordinary computer to make and operate virtual reality and makes an exploratory attempt for the promotion of 3d technology in interior design industry in the future. In this study, it provides a design fulcrum for the development of indoor furniture display under the new economic conditions, which is of great practical significance for the healthy and sustainable development of interior design industry.


This chapter defines ekphrasis concisely as ‘the verbal representation of real or fictive configurations composed in a non-kinetic visual medium’. It rejects narrower definitions that exclude texts on non-representational visual configurations, including architecture, or restrict the discourse to literary texts representing works of art. But with its emphasis on the text the concise definition unduly reinforces the consideration of ekphrasis as a form of ‘intermedial transposition’ in contemporary discourse on intermedial relations. An ekphrastic text should be primarily approached as the record of a viewer’s interpretive encounter with a non-kinetic visual configuration, which may not actually contain anything that has been ‘transposed’ from the image. This viewer may be the persona of a poem, a figure in a prose narrative, or an art critic. It is the reader’s task to construct these viewers in the interpretation of any ekphrastic text. But the role of the reader has not received much attention. This includes the question of the immediate mental reception of ekphrastic texts. The critical construct of ‘iconotexts’, suggesting that such verbal texts spontaneously trigger a mental visual image for the informed reader, is problematic, and even in a more general sense the term may be of limited critical use.


Author(s):  
Shenghan Mei ◽  
Xiaochun Liu ◽  
Shuli Mei

The locust slice images have all the features such as strong self-similarity, piecewise smoothness and nonlinear texture structure. Multi-scale interpolation operator is an effective tool to describe such structures, but it cannot overcome the influence of noise on images. Therefore, this research designed the Shannon–Cosine wavelet which possesses all the excellent properties such as interpolation, smoothness, compact support and normalization, then constructing multi-scale wavelet interpolative operator, the operator can be applied to decompose and reconstruct the images adaptively. Combining the operator with the local filter operator (mean and median), a multi-scale Shannon–Cosine wavelet denoising algorithm based on cell filtering is constructed in this research. The algorithm overcomes the disadvantages of multi-scale interpolation wavelet, which is only suitable for describing smooth signals, and realizes multi-scale noise reduction of locust slice images. The experimental results show that the proposed method can keep all kinds of texture structures in the slice image of locust. In the experiments, the locust slice images with mixture noise of Gaussian and salt–pepper are taken as examples to compare the performances of the proposed method and other typical denoising methods. The experimental results show that the Peak Signal-To-Noise Ratio (PSNR) of the denoised images obtained by the proposed method is greater 27.3%, 24.6%, 2.94%, 22.9% than Weiner filter, wavelet transform method, median and average filtering, respectively; and the Structural Similarity Index (SSIM) for measuring image quality is greater 31.1%, 31.3%, 15.5%, 10.2% than other four methods, respectively. As the variance of Gaussian white noise increases from 0.02 to 0.1, the values of PSNR and SSIM obtained by the proposed method only decrease by 11.94% and 13.33%, respectively, which are much less than other 4 methods. This shows that the proposed method possesses stronger adaptability.


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