# Hyperspectral Image Processing Technology and Its Application in Visual Communication Design

Authors: Dong Wu; Zhengwei Fang
Journal: Advances in Multimedia
 (2022)

---

## Abstract

In order to improve the effectiveness of visual communication design, this article combines hyperspectral image processing technology to construct a visual communication design system and improves the effect of visual communication design with intelligent methods. Eagerly, this article proposes a general framework for constructing a suitable shock capture scheme in combination with the entropy control method for suppressing shock instability. In addition, considering the guarantee of qualitative and entropy stability, this article adopts a variety of numerical experiments to evaluate the performance of the full-speed domain scheme. The simulation study shows that the visual communication system based on hyperspectral image processing technology proposed in this article has a very good visual communication effect and can effectively improve the visual communication design effect.


---

## Body

## 1. Introduction

Information design can accurately present specific information and accurately convey the details of the information to people, so it is easier for people to understand the information. The medium of information design presentation is generally a software interface or information announcement, which has an irreplaceable role in the field of visual design. Moreover, it can put more emphasis on clearly conveying precise information about things, allowing users to have a better experience and easier access to complete information resources, thereby increasing the probability of consumption [1].There are some differences between the two in major respects. First of all, in terms of information carrier, the information carrier of visual design is graphics, and the information design is text and charts. The visual design pays more attention to visual impact, which can convey information in a short time, but the communication is relatively vague. However, information design is able to accurately convey information, and it pays more attention to the clarity of the content. Secondly, in terms of inspection standards, it is difficult for visual design to quantify the inspection standards, so the validity of the inspection will be vague [2]. However, information design has extremely strict inspection standards, and user satisfaction is also an indispensable content in the inspection process. Finally, in terms of the requirements of practitioners, visual design is currently based on graphic design as the main design form, and those who are competent for the job need not have strong business capabilities. The personnel only have a certain artistic literacy, can roughly grasp the market form, and do not need to conduct in-depth research on the market. Therefore, practitioners do not have higher requirements [3]. However, information design is based on the information society, so the professional skills of practitioners have higher requirements. Therefore, personnel should not only have theoretical knowledge but also accurately understand the development trend of the information society and should also be proficient in various new tools and techniques. In addition, there are certain requirements in terms of learning ability. In terms of personnel requirements, it not only focuses on professional skills but also is closely related to comprehensive literacy [4].In visual communication design, the importance of visual design is self-evident, and the advent of the information age has also made information design an inseparable part of it. Visual design and information design have certain similarities, but there are also many differences, so in the specific design process, the two should be combined to achieve complementary advantages so that the design can be more in line with the requirements of customers, with stronger It can better achieve the expected effect of product promotion [5]. Whether a product can achieve better sales is closely related to the design. Only when the design is attractive to users will users be motivated to buy. The core of attractiveness lies in accurately conveying the content and advantages of the product. The two designs have different functions in the same place, and the combination will greatly improve the practicability of the design, the visual information obtained by people will be more accurate and perfect, and the information flow effect that they want to convey can also be better. Therefore, there are significant differences between the two, but these differences are also the basis for the integration of the two so as to better form complementary advantages, give full play to the advantages of all parties, and form a combined effect [6].Process visual design elements for information design. Murals, pottery, and other graphics have obvious national attributes. These graphics are the charm of traditional art, not only covering the charm of pictures, but also the rich cultural heritage of calligraphy, and these are commonly used elements in visual design. At the same time, art graphics originate from different regions and have different meanings. Especially in visual design art graphics, landscapes from different regions are often added, which can better reflect the regional characteristics and show the national spirit. In the graphics, the unique temperament of the design is given, and the vitality of the design work is also displayed [7]. Graphics is one of the most critical elements in visual design, and its art is extremely rich, so designers can get some inspiration from graphics, especially graphic expressions, which can more fully display its cultural heritage and national characteristics. The combination of graphics and design information is actually the processing of graphics with the help of modern design technology so as to achieve the effect of rich national characteristics without losing the personality of the times. There are positive shapes and negative shapes in the visual design. Information technology is used to cut the positive shape so that the original shape can be changed to become a negative shape. Using modern technology to process the visual design graphics, so that it can retain the meaning of the graphics, the shape also has the characteristics of modernity. The addition of some light and shadow effects can better reflect the sense of information and then create a more meaningful visual. The effect of the impact is stronger, and the artistic image can also be richer [8].Color is one of the most expressive elements of visual language. In the design process, the great significance of color to visual communication design must not be ignored. Due to the physiological characteristics of human beings, morphological analysis can only be carried out in response to color. From the perspective of visual effects, the influence of color precedes graphics and text [9]. The first is the visual pleasure of color. Color is an important medium for conveying design information, expressing aesthetic emotions, and enhancing the added value of objects. In the fiercely competitive market, the visual tension emanating from colors provides consumers with an effective basis for quickly capturing commodities and arouses their desire to purchase. Such as: in packaging design, successful packaging color pays attention to the emotional role of image color. Use appropriate colors to truly move consumers and achieve the purpose of arousing consumers’ desire to buy [10]. Diversified colors have improved people’s living standards and enriched people’s visual world. First of all, the color must be symbolic. When a common form of communication is realized and universalized, the expression of a certain color becomes a symbol of something. Use intuitive colors to express cultural significance. The symbolism of any color loses its symbolism once it is divorced from its preconditions. The second is the visual language to be figurative. When human vision comes into contact with a certain color, the brain will generate associations after receiving the signals emitted by the color. And association will bring people different psychological effects. A color that looks different can be understood differently when it is associated with the normal color of the object [11].Visual communication or a graphic designer takes a very short time, and this is the biggest feature of visual communication. A poster can be completed in a very short time for a graphic designer, and it can also convey the information conveyed to the customer in the shortest time, and these designers have very diverse expressions. The cost of making solutions is usually very low, so many designers can come up with a variety of solutions [12]. In commercial design, it is precisely because of this advantage that visual communication can become the most direct application of design to the market. When we analyze the history, characteristics, and breadth of visual communication, we can find that, as an art discipline, it is also a design discipline with extremely high artistry [13]. Visual communication design differs from other art forms such as painting. We can examine visual communication design from the perspectives of science and art, and find out the characteristics, so as to be able to distinguish the two in a more profound way, which will help us learn new design concepts and use the correct method for print advertising design, as well as other representations for commercialization [14]. The progress of science and technology has enriched the expressive means of visual communication and also made visual communication design more and more scientific. But the object of visual communication is people, and it is created through artistic means according to the laws of beauty. As a designer, expressing oneself is usually a major point, but in marketing and business design, it is necessary to convey business information in the visual language under the guidance of a similar advertising strategy to promote marketing. Therefore, it is difficult to say that visual communication is pure art; it can only be said that it tends to be artistic [15]. Therefore, visual communication design cannot be equated with artistic creation. It has the characteristics of combining science and artistry. Today we focus on the artistry of visual communication. The visual communication designer transforms the expression content into a specific image, which acts on human vision, and requires certain artistic expression means to achieve the purpose of instantly conveying information and satisfying people’s aesthetic requirements [16]. Therefore, visual communication design is carried out under the guidance of aesthetic theory. Aesthetic theory mainly studies the regularity in conception and expression. Aesthetic laws play an important role in guiding the practice of visual communication design, helping designers understand the development laws of beauty in design and improving designers’ aesthetic level. All art must be perfect, and visual communication design is no exception [17].This article combines hyperspectral image processing technology to construct a visual communication design system and improves the visual communication design effect using an intelligent method to promote the development of the subsequent visual communication design.


## 2. Hyperspectral Image Processing

### 2.1. Upward Style Low Mach Accuracy Problem

As shown in Figure1, the left panel shows the pressure fluctuation contours of an incompressible potential flow around a cylinder. The figure on the right shows the pressure fluctuation contours computed by the compressible solver in the first-order Roe format on a quadrilateral structured mesh. By comparing the two figures, it can be seen that the typical upwind style such as Roe cannot accurately calculate the low Mach number flow.Figure 1
Pressure fluctuation contour of cylindrical incompressible potential flow underM∞=10−6 free-flow condition. (a) Analytic solutions. (b) Roe.
(a)(b)This article briefly reviews how to derive incompressible systems from compressible Euler equations. The compressible Euler equation can be expressed as follows:(1)∂∂tρ+∇⋅ρu=0,∂∂tρu+ρu⋅∇u+∇p=0,∂∂tp+u⋅∇p+ρa2∇⋅u=0.Among them,ρ is the density of the fluid, u=u,v is the velocity of the fluid flow, p is the pressure, and a=∂p/∂ρ|s is the speed of sound. The dimensionless Euler equation takes the following reference variables:(2)p^=ρρ∗,u^=uu∗,p^=pρ∗a∗2,x^=xδ∗,x^=tu∗δ∗.Among them,a∗ represents the reference sound speed and δ∗ represents any length scale. Therefore, the dimensionless system of equations can be expressed as follows:(3)∂∂tρ+∇⋅ρu=0,∂∂tρu+ρu⋅∇u+1M2∇p=0,∂∂tp+u⋅∇p+ρa2∇⋅u=0.In the formula,M=u∗/a∗ represents the reference Mach number (the symbol ⋅^ is omitted here). Considering the asymptotic expansion of physical variables in Mach numbers, the following results can be obtained:(4)ρ=ρ0+Mρ1+M2ρ2+OM2,p=p0+Mp1+M2p2+OM2,u=u0+Mu1+M2u2+OM2a.By substituting the above expansion into equation (3) and arranging it according to the same power of Mach number, the following can be obtained.M−2 order:(5)∇p0=0.M−1 order:(6)∇p1=0.M0 order:(7)∂∂tρ0+∇⋅ρ0u0=0,∂∂tρ0u0+u0⋅∇ρ0u0+∇p2=0,∂∂tp0+u0∇p0+ρ0a02∇⋅u0=0.It can be seen from equations (5) and (6) that the zero-order and first-order pressures are uniform in space, namely,(8)p0=p0t,p1=p1t.Therefore, the pressure can be expressed as follows:(9)px,t=p0t+M2p2x,t.In the presence of an open boundary, the pressurep0 is set to external pressure. For the convenience of analysis, it is assumed that the external pressure is constant, so the pressure p0 remains unchanged in space and time, that is,(10)dpextdt=dp0dt=0.By combining equations (9) and (10), the following relationship can be obtained:(11)px,t=p0+M2p2x,tp0=const.Considering the relationp0=const, it can be known from formula (7) that the zero-order velocity is divergence-free, namely,(12)∇⋅u0=0.Substituting formula (12) into formula (7), we can get the following:(13)ρ0=const.The second-order pressurep2 acts as the balance force of the incompressible flow, namely,(14)∂u0∂t+u0⋅∇u0+1ρ0∇p2=0.Furthermore, the following Poisson equation is satisfied:(15)∇2p2=fx,u0,ρ0.Taking the typical Roe scheme as an example, the asymptotic analysis method is used to briefly describe the properties of the finite volume scheme in the limit of the Mach number approaching zero and the reason why the standard compressible solver cannot calculate the incompressible flow is explained. For a two-dimensional Euler equation, employing the first-order Roe format yields the following set of semidiscrete equations:(16)dUidt+1Ωi∑Γij⊂∂ΩiΓijFijRoe=0.The Roe format can be expressed as follows:(17)FijRoe=12FL+FR−12A^UR−UL.As with the continuous asymptotic analysis, it is assumed that the physical quantity expands asymptotically at Mach number, that is, formula (4). By substituting these physical quantities into semidiscrete equations, the asymptotic equations in Roe format can be obtained by sorting. To demonstrate the behavior of the Roe scheme at the low Mach number limit, the main results of its asymptotic analysis are given as follows:The semidiscrete Euler equation calculated in the discrete Roe scheme supports the pressure fluctuation of orderM1, namely,(18)px,t=p0t+M1p1x,t.TheM0-order velocity divergence is not zero, that is,(19)∇⋅u0≠0,and excessive numerical viscosity. Compared with the results of continuous asymptotic analysis of the Euler equation, it can be seen that the behavior of the Roe scheme at the low Mach limit is inconsistent with the low Mach limit of the Euler equation. This is why it cannot accurately calculate incompressible flow. Meanwhile, for other shock capture formats, there are similar results.


### 2.2. Common Correction Method

Considering the finite volume discretization of the compressible Euler equation, where the spatial convection term is discretized using Godunov-type format, the corresponding full Mach correction format can be expressed as follows:(20)dUidt+1Ωi∑Γij⊂∂ΩiΓijFijAM,X=0,where X represents a Godunov-type format. The full Mach numerical flux can then be expressed as follows:(21)FijAM,X=FijX+1−θijρijaij20ΔqnxΔqny0ij,where Fijx represents the original flux. The weight function θij is defined by the local Mach number Mij, and its specific expression is as follows:(22)θij=θMij,θM=minM,1.In equations (21) and (22), the variables MijΔρij and aij represent the Mach number, density, and speed of sound at the interface between meshes i and j, which can be calculated by Roe averaging.Another modified numerical fluxFijAM,x can be expressed as follows:(23)FijAM,X=ρ∗q∗,ρ∗q∗u∗+p∗∗nx,ρ∗q∗v∗+p∗∗ny,ρ∗e∗+p∗q∗,ij,and(24)pij∗∗=θijpij∗+1−θijpi+pj2,where ρ∗,u∗,v∗,e∗ represents the solution of the one-dimensional Riemann problem.In order to calculate the weight functionθij, the definition of the local Mach number Mij must be given, and the literature gives a variety of feasible methods. In order to calculate the Mach number at the mesh interface, the following methods are used in this article:(25)Mij=maxui2+vi2ai,uj2+vj2aj.


### 2.3. Low Mach Correction for HLL-Type Format

The full Mach correction method defined in equations (21) and (23) is applied to solve the accuracy problem of the two HLL-type Riemann solvers at low Mach numbers. Here, the raw flux is calculated by the HLLEM format and the HLLC format; see the definition of the formula. These two methods represent two approaches to achieving high resolution of linear waves within the framework of the HLL format, with low numerical dissipation and high resolution for both linear and nonlinear discontinuities. Moreover, because these methods are based on the HLL format, they satisfy the entropy condition and have positive definite properties. Following the full Mach correction method in equations (21) and (23), the corresponding full Mach numerical flux can be obtained, and its specific expression is as follows:(26)FijAM−HLLEM=FijHLLEM+1−θijρijaij20,Δqnx,Δqny,0,ij,and(27)FAM−HLLC,K∗=ρK∗S∗,ρK∗S∗uK+nxS∗−qK+p∗∗nx,ρK∗S∗vK+nyS∗−qK+p∗∗ny,S∗ρK∗eK∗+p∗,ijK=L,R.In the formula,θij is defined by formulas (22) and (25), .ij is the Roe average variable, and p∗∗ is defined in formula (24).


## 2.1. Upward Style Low Mach Accuracy Problem

As shown in Figure1, the left panel shows the pressure fluctuation contours of an incompressible potential flow around a cylinder. The figure on the right shows the pressure fluctuation contours computed by the compressible solver in the first-order Roe format on a quadrilateral structured mesh. By comparing the two figures, it can be seen that the typical upwind style such as Roe cannot accurately calculate the low Mach number flow.Figure 1
Pressure fluctuation contour of cylindrical incompressible potential flow underM∞=10−6 free-flow condition. (a) Analytic solutions. (b) Roe.
(a)(b)This article briefly reviews how to derive incompressible systems from compressible Euler equations. The compressible Euler equation can be expressed as follows:(1)∂∂tρ+∇⋅ρu=0,∂∂tρu+ρu⋅∇u+∇p=0,∂∂tp+u⋅∇p+ρa2∇⋅u=0.Among them,ρ is the density of the fluid, u=u,v is the velocity of the fluid flow, p is the pressure, and a=∂p/∂ρ|s is the speed of sound. The dimensionless Euler equation takes the following reference variables:(2)p^=ρρ∗,u^=uu∗,p^=pρ∗a∗2,x^=xδ∗,x^=tu∗δ∗.Among them,a∗ represents the reference sound speed and δ∗ represents any length scale. Therefore, the dimensionless system of equations can be expressed as follows:(3)∂∂tρ+∇⋅ρu=0,∂∂tρu+ρu⋅∇u+1M2∇p=0,∂∂tp+u⋅∇p+ρa2∇⋅u=0.In the formula,M=u∗/a∗ represents the reference Mach number (the symbol ⋅^ is omitted here). Considering the asymptotic expansion of physical variables in Mach numbers, the following results can be obtained:(4)ρ=ρ0+Mρ1+M2ρ2+OM2,p=p0+Mp1+M2p2+OM2,u=u0+Mu1+M2u2+OM2a.By substituting the above expansion into equation (3) and arranging it according to the same power of Mach number, the following can be obtained.M−2 order:(5)∇p0=0.M−1 order:(6)∇p1=0.M0 order:(7)∂∂tρ0+∇⋅ρ0u0=0,∂∂tρ0u0+u0⋅∇ρ0u0+∇p2=0,∂∂tp0+u0∇p0+ρ0a02∇⋅u0=0.It can be seen from equations (5) and (6) that the zero-order and first-order pressures are uniform in space, namely,(8)p0=p0t,p1=p1t.Therefore, the pressure can be expressed as follows:(9)px,t=p0t+M2p2x,t.In the presence of an open boundary, the pressurep0 is set to external pressure. For the convenience of analysis, it is assumed that the external pressure is constant, so the pressure p0 remains unchanged in space and time, that is,(10)dpextdt=dp0dt=0.By combining equations (9) and (10), the following relationship can be obtained:(11)px,t=p0+M2p2x,tp0=const.Considering the relationp0=const, it can be known from formula (7) that the zero-order velocity is divergence-free, namely,(12)∇⋅u0=0.Substituting formula (12) into formula (7), we can get the following:(13)ρ0=const.The second-order pressurep2 acts as the balance force of the incompressible flow, namely,(14)∂u0∂t+u0⋅∇u0+1ρ0∇p2=0.Furthermore, the following Poisson equation is satisfied:(15)∇2p2=fx,u0,ρ0.Taking the typical Roe scheme as an example, the asymptotic analysis method is used to briefly describe the properties of the finite volume scheme in the limit of the Mach number approaching zero and the reason why the standard compressible solver cannot calculate the incompressible flow is explained. For a two-dimensional Euler equation, employing the first-order Roe format yields the following set of semidiscrete equations:(16)dUidt+1Ωi∑Γij⊂∂ΩiΓijFijRoe=0.The Roe format can be expressed as follows:(17)FijRoe=12FL+FR−12A^UR−UL.As with the continuous asymptotic analysis, it is assumed that the physical quantity expands asymptotically at Mach number, that is, formula (4). By substituting these physical quantities into semidiscrete equations, the asymptotic equations in Roe format can be obtained by sorting. To demonstrate the behavior of the Roe scheme at the low Mach number limit, the main results of its asymptotic analysis are given as follows:The semidiscrete Euler equation calculated in the discrete Roe scheme supports the pressure fluctuation of orderM1, namely,(18)px,t=p0t+M1p1x,t.TheM0-order velocity divergence is not zero, that is,(19)∇⋅u0≠0,and excessive numerical viscosity. Compared with the results of continuous asymptotic analysis of the Euler equation, it can be seen that the behavior of the Roe scheme at the low Mach limit is inconsistent with the low Mach limit of the Euler equation. This is why it cannot accurately calculate incompressible flow. Meanwhile, for other shock capture formats, there are similar results.


## 2.2. Common Correction Method

Considering the finite volume discretization of the compressible Euler equation, where the spatial convection term is discretized using Godunov-type format, the corresponding full Mach correction format can be expressed as follows:(20)dUidt+1Ωi∑Γij⊂∂ΩiΓijFijAM,X=0,where X represents a Godunov-type format. The full Mach numerical flux can then be expressed as follows:(21)FijAM,X=FijX+1−θijρijaij20ΔqnxΔqny0ij,where Fijx represents the original flux. The weight function θij is defined by the local Mach number Mij, and its specific expression is as follows:(22)θij=θMij,θM=minM,1.In equations (21) and (22), the variables MijΔρij and aij represent the Mach number, density, and speed of sound at the interface between meshes i and j, which can be calculated by Roe averaging.Another modified numerical fluxFijAM,x can be expressed as follows:(23)FijAM,X=ρ∗q∗,ρ∗q∗u∗+p∗∗nx,ρ∗q∗v∗+p∗∗ny,ρ∗e∗+p∗q∗,ij,and(24)pij∗∗=θijpij∗+1−θijpi+pj2,where ρ∗,u∗,v∗,e∗ represents the solution of the one-dimensional Riemann problem.In order to calculate the weight functionθij, the definition of the local Mach number Mij must be given, and the literature gives a variety of feasible methods. In order to calculate the Mach number at the mesh interface, the following methods are used in this article:(25)Mij=maxui2+vi2ai,uj2+vj2aj.


## 2.3. Low Mach Correction for HLL-Type Format

The full Mach correction method defined in equations (21) and (23) is applied to solve the accuracy problem of the two HLL-type Riemann solvers at low Mach numbers. Here, the raw flux is calculated by the HLLEM format and the HLLC format; see the definition of the formula. These two methods represent two approaches to achieving high resolution of linear waves within the framework of the HLL format, with low numerical dissipation and high resolution for both linear and nonlinear discontinuities. Moreover, because these methods are based on the HLL format, they satisfy the entropy condition and have positive definite properties. Following the full Mach correction method in equations (21) and (23), the corresponding full Mach numerical flux can be obtained, and its specific expression is as follows:(26)FijAM−HLLEM=FijHLLEM+1−θijρijaij20,Δqnx,Δqny,0,ij,and(27)FAM−HLLC,K∗=ρK∗S∗,ρK∗S∗uK+nxS∗−qK+p∗∗nx,ρK∗S∗vK+nyS∗−qK+p∗∗ny,S∗ρK∗eK∗+p∗,ijK=L,R.In the formula,θij is defined by formulas (22) and (25), .ij is the Roe average variable, and p∗∗ is defined in formula (24).


## 3. Hyperspectral Image Processing Technology and Its Application in Visual Communication Design

The U-Net network has only two convolutional layers per stage, for a total of 23 convolutional layers. The reason is that the sample size of the dataset used is small, and a too deep network is easy to cause overfitting. Compared with medical images, the dataset of hyperspectral images is relatively large in sample size, and the input of the network is the neighborhood block. Therefore, the U-Net network with too shallow layers limits the accuracy of the model on the hyperspectral image classification task, so we need to introduce residual connections on the basis of U-Net to alleviate the problem of gradient disappearance. Moreover, the deepened network contains a total of 35 convolutional layers and achieves higher performance; the network structure is shown in Figure2.Figure 2
V-Net network structure.The spatial attention mechanism is introduced into the hyperspectral remote sensing image classification algorithm. By capturing long-distance dependencies, more effective spatial features are extracted, and the classification accuracy is further improved. Therefore, the process of hyperspectral image classification based on Attention-VNet is shown in Figure3:Figure 3
The flow of hyperspectral image classification.In order to obtain a large receptive field in the original structure, the size of the convolution kernel used is 7 × 7, which brings a huge amount of computation to the network. The larger the receptive field, the more spatial context information the network will use to extract important spatial features, so the convolution operation determines the performance of the attention module. Therefore, in order to obtain a wider range of spatial context information and reduce the computational complexity of the network, the large convolution kernel in the original structure is replaced with a three-dimensional convolution with a dilation rate. The attention module can generate spatial attention information for spatial information so that important regions on the feature map have large weights. We add this module after each stage of the encoder and decoder. After the end of each stage, this module can be used to extract important spatial information in the image for use in the next stage, and it can also be combined with the decoder part through skip layer connections. The overall network architecture is shown in Figure4.Figure 4
Hyperspectral image classification algorithm based on local spatial attention mechanism.The purpose of proposing the joint decision fusion and feature fusion framework is as follows: (1) We propose a Weighted Extended Multi-Attribute Profile (WEMAPS) for integrating different attributes and different thresholds to reduce noise and smooth uniform regions. (2) To better extract discriminative features in hyperspectral images, the features extracted by weighted mean filter (WMFS) and the proposed Weighted Extended Multi-Attribute Profile (WEMAPS) are combined. (3) A multiscale approach is adopted in the JDFFF framework to capture different spatial structures and better obtain the discriminative information of hyperspectral images. (4) A revised extreme learning machine (RELM) is proposed to perform hyperspectral image classification, projecting different classes into different feature spaces. Furthermore, using multivote election (MV) with the proposed JDFFF framework for hyperspectral image classification, the classification results of Generalized Extreme Learning Machine (GELM), Kernel Extreme Learning Machine (KELM), and the proposed revised extreme learning machine (RELM) are combined into the last optimal result.Based on Feature Fusion (FF) and Decision Fusion (DF), a JDFFF framework for performing hyperspectral image classification is proposed. The main steps of joint decision fusion and feature fusion can be summarized as follows. First, the features extracted by Weighted Mean Filters (WMFs) are fused with those extracted by the proposed Weighted Extended Multiple Attribute Profiles (WEMAPs). Second, the features fused by WMFs and WEMAPs are classified using Generalized Extreme Learning Machine (GELM), Kernel Extreme Learning Machine (KELM), and the proposed Revised Extreme Learning Machine (RELM). Then, when processing hyperspectral images with a weighted mean filter, the width (scale) of the neighborhood window can be set to 3, 5, 7, etc., so that we can get fusion features of multiple scales. Finally, the fused features of multiple scales are used as the input of ELM for classification. Here, the decision fusion method of multivote election is adopted to combine the classification results of GELM, KELM, and RELM into the optimal result. Figure5 shows the proposed framework of joint decision fusion and feature fusion (JDFFF).Figure 5
Framework diagram of joint decision fusion and feature fusion.The visual communication design and development process mainly include the design and import of 3D models, the construction of indoor 3D scenes, texture mapping], material settings, lighting layout, rendering, and test release. The specific process is shown in Figure6.Figure 6
The development process of visual communication design.Each data block is used to represent the visual texture features of a 3D image, and textures need to be added to the representation. After the texture is acquired, the texture needs to be mapped, and since the focus will change, the mapping size will also change accordingly. The texture mapping specifically refers to adding textures at corresponding positions in the 3D image 3D model based on the relationship between the coordinate system of the 3D image 3D model and the coordinate values in the texture coordinate system. Figure7 shows the schematic diagram of the coordinate system and the texture shooting process.Figure 7
Schematic diagram of coordinate system and texture shooting process. (a) Schematic diagram of coordinate system. (b) Texture shooting process.
(a)(b)


## 4. Hyperspectral Image Processing Technology and Its Application Effect Verification in Visual Communication Design

A visual communication system based on hyperspectral image processing technology is constructed by MATLAB, and the performance of the system is tested. The 3D image reconstruction accuracy of the designed 3D image visual communication system based on the automatic reconstruction of digital images, the 3D image visual communication system based on visual interaction technology, the concept of image mashup, and virtual reality technology are tested. The specific test results are shown in Table1 and Figure 8.Table 1
Test results of 3D image reconstruction accuracy.
Designed visual communication systemVisual communication system based on visual interaction technologyVisual communication system under the concept of image mashupVisual communication system under virtual reality technologyDesigned visual communication system96.39390.47488.39687.53496.39395.67792.43491.15085.50595.67794.54190.47490.17079.61594.54195.30593.62991.15082.51695.30595.41391.45491.15085.46695.41396.27590.17087.53484.59496.27595.26694.39485.46679.61595.26696.67795.46284.59485.45696.67795.58994.37482.52682.63495.58994.42392.32682.59485.61394.423Figure 8
Test statistical diagram of 3D image reconstruction accuracy.On this basis, the visual communication effect of the visual communication system based on hyperspectral image processing technology proposed in this article is verified, and the results shown in Table2 and Figure 9 are obtained.Table 2
Visual communication effect verification of visual communication system based on hyperspectral image processing technology.
NumberVisual communicationNumberVisual communicationNumberVisual communication189.6941589.2712989.180290.0701691.0063091.994387.1901789.2963188.086487.7651886.9123289.602587.6701991.8643387.546686.9752086.4933486.479791.9982191.3083590.067890.6412290.7563689.285988.1492386.9913787.2921090.0882491.8883888.9051188.5842587.8613988.6131291.0862688.5004090.0971387.2122788.8161487.3082887.731Figure 9
Statistical diagram of visual communication effect.It can be seen from the above research that the visual communication system based on hyperspectral image processing technology proposed in this article has a very good visual communication effect and can effectively improve the visual communication design effect.


## 5. Conclusion

The visual design has a certain visual impact, and it is also the core of visual communication design. Therefore, the attractiveness of design work to people depends largely on visual design. In the field of commodity packaging, visual design is relatively widely used, and the use of creative means to express specific information will make the information have a stronger visual impact. However, the accuracy of graphic language is relatively lacking, and information cannot be accurately pointed out, resulting in a relatively weak role in information transmission. This article combines hyperspectral image processing technology to construct a visual communication design system and improves the visual communication design effect by an intelligent method. The simulation study shows that the visual communication system based on hyperspectral image processing technology proposed in this article has a very good visual communication effect and can effectively improve the visual communication design effect.



---

*Source: 1272039-2022-07-14.xml*