Image Display Research Articles

Computer Vision Based Multimedia Advertising Effect Enhancement Strategy in E-Commerce Practice

Abstract In the context of today’s Internet-developed era, novel advertisement design is part of the enterprise marketing means. To improve the effectiveness of multimedia advertising on e-commerce practices, the study developed a multimedia advertising design system based on a generative adversarial network. The study proposes a generative adversarial network mechanism for computer vision technology, constructs an intelligent generation model of advertisement images using the generative adversarial network, designs a multimedia advertisement image interaction system, and explores the visual communication effect of multimedia advertisements. In order to test the significance of the advertisement image generation model for the display of advertisement images, a performance comparison test is conducted with other image generation models, and then the multimedia advertisement proposed in this paper is put into e-commerce practice. The study shows that the advertisement image generation model can accurately generate multimedia advertisement images, and the generation of multimedia advertisements based on the antagonistic network has a significant effect on the pleasant mood of e-commerce customers (p>0.005). Therefore, the multimedia advertising enhancement strategy proposed in this paper is conducive to mobilizing customers’ positive mood in e-commerce, and its practical effect is significant.

Paper] Construction of 3D Image and Visibility Improvement of 2D Image Outside 3D Viewing Zone by Edge-Based Depth-Fused 3D Display Using Aerial Image and Rear Display

Paper] Construction of 3D Image and Visibility Improvement of 2D Image Outside 3D Viewing Zone by Edge-Based Depth-Fused 3D Display Using Aerial Image and Rear Display

Full-flow surface defect identification method based on spot scanning scattering for unpatterned wafer

As the critical dimensions of semiconductor manufacturing processes gradually decrease, the requirements for production yield management become increasingly stringent. During the manufacturing process, there are many different types of defects, such as micron-sized particles, millimeter-sized scratches, etc. Multiple categories and different scales bring great challenges to the detection and identification of defects. This paper provides a full-flow surface defect identification method based on spot scanning scattering for unpatterned wafers. First, an adaptive threshold method with dynamic kernel windows is used to perform line-by-line scanning inspection of the wafer Mercator image. The 3σ decision strategy is used to avoid the impact of defects on background estimation and to improve detection sensitivity. After morphological processing, connected domain analysis is performed to obtain the defect mask, and feature information such as the shape, size, and distribution of the defect is extracted. Finally, the defect identification is performed by rules based binning, and the identified defects are converted into wafer polar coordinate image for display and analysis. In the experiments, the proposed method is used to identify micron-scale particles as well as large scratches on the millimeter scale for SiC wafers. Relative to the actual production rate requirement of 20 wafers per hour, the analysis time for a 6-inch wafer is 24.4 s, which can meet the requirement. Meanwhile, the test results illustrate the effectiveness of the method. The proposed method is recommended for early-stage defect detection and identification of unpatterned wafers.

StainedSweeper: Compact, Variable-Intensity Light-Attenuation Display with Sweeping Tunable Retarders.

Light Attenuation Displays (LADs) are a type of Optical See-Through Head-Mounted Display (OST-HMD) that present images by attenuating incoming light with a pixel-wise polarizing color filter. Although LADs can display images in bright environments, there is a trade-off between the number of Spatial Light Modulators (SLMs) and the color gamut and contrast that can be expressed, making it difficult to achieve both high-fidelity image display and a small form factor. To address this problem, we propose StainedSweeper, a LAD that achieves both the wide color gamut and the variable intensity with a single SLM. Our system synchronously controls a pixel-wise Digital Micromirror Device (DMD) and a nonpixel polarizing color filter to pass light when each pixel is the desired color. By sweeping this control at high speed, the human eye perceives images in a time-multiplexed, integrated manner. To achieve this, we develop the OST-HMD design using a reflective Solc filter as a polarized color filter and a color reproduction algorithm based on the optimization of the time-multiplexing matrix for the selected primary color filters. Our proof-of-concept prototype showed that our single SLM design can produce subtractive images with variable contrast and a wider color gamut than conventional LADs.

LED 디스플레이 시스템에서의 보안 강화를 위한 HDMI를 이용한 영상 표출 보안 개선 연구

Currently, the security technology applied to LED displays is focused on network security, and a problem exists with the expression security function of the final display equipment. Therefore, the development and improvement of security technology, application of standardized security protocols, security training for operators and users, and fundamental and specific approaches are required. Unintended expression accidents and security problems may occur in the display of images. Accordingly, a fundamental security plan applying a representative HDMI signal processing technology is required. Therefore, this study analyzes the security technology currently applied to digital media imaging systems and proposes a new video security technique using voice signals in videos to solve the fundamental expression problem of security methods for media images that were limited to existing network fields.
 To verify the proposed technique, the reliability and safety of the display security of video files were compared between the existing and the improved systems by applying it to the LED display system using HDMI. The result confirmed that the unspecified video could not be displayed depending on the security application. If the security application technique using voice frequencies proposed in this study is applied to the currently released digital media imaging system, excellent improvement can be achieved in maintaining the confidentiality of operating data, preventing external attacks and modifications, and controlling illegal content and advertisements.

Determining Customer Preferences in Choosing a Marketplace Using the Conjoint Analysis Method

The number of online shopping transactions in Indonesia has grown over the last ten years by 17% and the total number of e-commerce businesses has reached 26.2 million units. This creates competition that requires companies to maintain their existence by understanding consumer psychology. This study aims to determine the combination of attribute levels that are most preferred by consumers in choosing a marketplace as a place to shop by using conjoint analysis. The data used is the result of a survey of Riau University students in the form of a questionnaire. The results of the conjoint analysis in this study show that the level of each attribute that respondents prefer is the display of full color applications and images, free shipping promotions on a certain amount of purchase, the method of paying Cash On Delivery (COD), using J&T/JNE/Sicepat/Tiki/Pos delivery services, and product reviews are available in the form of photos and videos.

Coarse Integral Volumetric Imaging Display with Time and Polarization Multiplexing

This paper introduces an innovative approach to integral volumetric imaging employing time and polarization multiplexing techniques to present volumetric three-dimensional images. Traditional integral volumetric imaging systems with a coarse lens array often face moiré pattern issues stemming from layered panel structures. In response, our proposed system utilizes a combination of time and polarization multiplexing to achieve two focal planes using a single display panel.

HYDRO: Optimizing interactive hybrid images for digital signage content

In modern society, digital signage installed in many large-scale facilities supports our daily life. However, with a limited screen size, it is difficult to provide different types of information for many viewers at varying distances from the screen simultaneously. Therefore, in this study, we extend existing research on the use of hybrid images for tiled displays. To facilitate smoother information selection, a new interactive display method is proposed that incorporates a touchactivated widget as a high-frequency part of the hybrid image; these widgets are novel in that they are more visible to the viewers near to the display. We develop an authoring tool that we call the Hybrid Image Display Resolutions Optimizer (HYDRO); it features two kinds of control functions by which to optimize the visibility of the touch-activated widgets in terms of placement and resolution. The effectiveness of the present method is shown empirically via a quantitative user study and an eye-tracking-based qualitative evaluation.

Proposal for a Display Method for Myocardial Single Photon Emission Computed Tomography Based on Left Ventricular Volume.

Bull's eye view for the display of myocardial single-photon emission computed tomography (SPECT) 3-D perfusion maps does not reflect left ventricular (LV) volume, an important parameter. We created and evaluated a myocardial SPECT display method that reflects the LV volume.Using Digital Imaging and Communications in Medicine data, short-axis slices from the apex to the base were reconstructed and interpolated into 0.5-mm thickness. We obtained the radial lengths at 1° intervals throughout 360°, and calculated the length of the LV long axis and half circumference (1/2 circ). Myocardial perfusion was displayed as 2 ellipsoidal developments that exhibited the left anterior descending coronary artery (LAD) and non-LAD regions. We created a system that can display these processes on a personal computer. Myocardial SPECT data from 526 individuals without heart disease were analyzed. The long axis and 1/2 circ were compared with the body size, LV end-diastolic diameter (LVDd) obtained by echocardiography, and the end-diastolic volume (EDV) obtained by electrocardiogram-gated SPECT analysis. The 1/2 circle correlated with the LVDd and EDV. The images obtained allowed a diagnosis comparable to that made using the conventional coordinate display system.The new myocardial display reflects ischemia and LV volume within a single image, which cannot be achieved with conventional SPECT image display. Additional studies of this display system are required to allow its application to patients with heart disease.

A Study on the Construction of the National Media Image of American Science Fiction Films in the New Century

As a significant genre of Hollywood blockbusters, science fiction films showcase the unbeatable technological prowess of the United States, serving as a vital avenue for international communication and the display of a powerful national image. Science fiction films have left a distinctive impression on audiences worldwide, portraying the United States as the global leader in technology, owing to the presence of real scientific research facilities, enigmatic scientific symbols, advanced research equipment, and extraordinary imagination within the genre. Since the turn of the century, American science fiction films have undergone a significant shift in their communication strategy, presenting a "hardcore Iron Man" national media image. This paper, employing agenda-setting theory and content analysis methodology, explores the specific pathways through which American science fiction films constructed the national media image from 2000 to 2019.

Pressure‐induced emission (PIE) in halide perovskites toward promising applications in scintillators and solid‐state lighting

AbstractHigh‐pressure chemistry has provided a huge boost to the development of scientific community. Pressure‐induced emission (PIE) in halide perovskites is gradually showing its unique charm in both pressure sensing and optoelectronic device applications. Moreover, the PIE retention of halide perovskites under ambient conditions is of great commercial value. Herein, we mainly focus on the potential applications of PIE and PIE retention in metal halide perovskites for scintillators and solid‐state lighting. Based on the performance requirements of scintillator and single‐component white light‐emitting diodes (WLEDs), the significance of PIE and PIE retention is critically clarified, aiming to design and synthesize materials used for high‐performance optoelectronic devices. This perspective not only demonstrates promising applications of PIE in the fields of scintillators and WLEDs, but also provides potential applications in display imaging and anti‐counterfeiting of PIE materials. Furthermore, solving the scientific disputes that exist under ambient conditions is also simply discussed as an outlook by introducing high‐pressure dimension to produce PIE.

Weld beads and defects automatic identification, localization, and size calculation based on a lightweight fully convolutional neural network

Weld quality inspection is a key aspect of modern manufacturing. Automatic identification, location, and dimensioning of welds and defects are necessary for complex industrial environments. Weld and defects dimensional data are important indicators for high precision assessment of weld quality, while precise positioning of welds and defects can provide important location data for subsequent processing. In this study, a novel weld and defects detection, location, and size calculation method is proposed based on deep fully convolutional neural networks. Firstly, 43 high-precision high-power laser weld plate scanned images are automatically cropped to 800 pixels × 800 pixels by the proposed sliding window sampling method for training, testing, and validation, while an image data enhancement method is proposed to quadruple the amount of data to improve the model performance. Next, the OU-net image semantic segmentation model is established to accurately identify different detection targets, which can achieve MIoU and MPA values of 78.15% and 85.18% on the validation set after sufficient training, respectively. Then, the proposed cropped segmentation image fusion recovery method is used to obtain the complete weld segmentation image for a complete display of the different inspection targets on the weld plate. Finally, a detection targets localization and size calculation method is applied to accurately obtain the position data and size data of different targets. The validation results show that the proposed detection strategy can locate and measure every weld seam, collapse, overlap, spatter, and hump on the weld plate.

Purple – Blue emission in MoO3:Ce3+ nanorods: Investigation on the structural and photoluminescence properties

MoO3:Ce3+ nanophosphors were synthesized with different doping concentrations of cerium by hydrothermal method. Structural, optical, and photoluminescence properties were explored. Raman spectroscopy and X-ray diffraction studies were carried out to examine the crystal structure, vibrational modes and symmetry. XRD and Raman spectroscopy assures the orthorhombic phase of MoO3 for the pure and doped samples. Nanorod like morphology was obtained for pure and doped samples. XPS analysis confirms the presence of Ce3+. While analyzing UV–Vis absorption spectra, the change in optical bandgap was observed with doping concentration in agreement with size effect. The refractive index of the prepared nanorods was evaluated. For MoO3:Ce3+nanorods excited at 250 nm, purple-blue emission comprising of transitions between 2D → 2F7/2 along with 2D → 2F5/2 levels of Ce3+ in MoO3 lattice were obtained. The concentration quenching mechanism was observed in MoO3:Ce3+ nanophosphors. Purple-blue emission from different samples were quantified using CIE chromaticity diagram. This work marks MoO3:Ce3+ nanorods as a suitable candidate for display and fluorescence imaging application.

Retracted: Visual Communication-Based Virtual Reality Design of Imaging Information Collection and Display System

Retracted: Visual Communication-Based Virtual Reality Design of Imaging Information Collection and Display System

Dual convolutional neural network for aberration pre-correction and image quality enhancement in integral imaging display.

This paper proposes a method that utilizes a dual neural network model to address the challenges posed by aberration in the integral imaging microlens array (MLA) and the degradation of 3D image quality. The approach involves a cascaded dual convolutional neural network (CNN) model designed to handle aberration pre-correction and image quality restoration tasks. By training these models end-to-end, the MLA aberration is corrected effectively and the image quality of integral imaging is enhanced. The feasibility of the proposed method is validated through simulations and optical experiments, using an optimized, high-quality pre-corrected element image array (EIA) as the image source for 3D display. The proposed method achieves high-quality integral imaging 3D display by alleviating the contradiction between MLA aberration and 3D image resolution reduction caused by system noise without introducing additional complexity to the display system.

FPGA-Based Improved Sobel Operator Edge Detection

Image edge detection is an important field in image processing, with its primary goal being to identify edge information of various objects in images. Traditional edge detection programs are mostly executed serially, resulting in low detection efficiency. This paper proposes an FPGA-based improved Sobel operator edge detection method, harnessing the parallel processing capability of FPGA to enhance detection efficiency. Building upon the Sobel operator in edge detection algorithms, this method increases the convolution calculation dimensions of the Sobel operator, expanding it from 2 directions to 8 directions for more precise edge information. Images captured by OV5640 are processed within the FPGA and displayed via VGA. Compared to other edge detection algorithms, the FPGA-based improved Sobel operator edge detection method efficiently and rapidly detects image edges, ensuring stable image display and accurate edge information.

Fluorescence-guided surgical system using holographic display: from phantom studies to canine patients.

Holographic display technology is a promising area of research that can lead to significant advancements in cancer surgery. We present the benefits of combining bioinspired multispectral imaging technology with holographic goggles for fluorescence-guided cancer surgery. Through a series of experiments with 43D-printed phantoms, small animal models of cancer, and surgeries on canine patients with head and neck cancer, we showcase the advantages of this holistic approach. The aim of our study is to demonstrate the feasibility and potential benefits of utilizing holographic display for fluorescence-guided surgery through a series of experiments involving 3D-printed phantoms and canine patients with head and neck cancer. We explore the integration of a bioinspired camera with a mixed reality headset to project fluorescent images as holograms onto a see-through display, and we demonstrate the potential benefits of this technology through benchtop and in vivo animal studies. Our complete imaging and holographic display system showcased improved delineation of fluorescent targets in phantoms compared with the 2D monitor display approach and easy integration into the veterinarian surgical workflow. Based on our findings, it is evident that our comprehensive approach, which combines a bioinspired multispectral imaging sensor with holographic goggles, holds promise in enhancing the presentation of fluorescent information to surgeons during intraoperative scenarios while minimizing disruptions.

Twofold optical display and encryption of binary and grayscale images with a wavelength-multiplexed metasurface

Abstract The remarkable capability in regulating light polarization or amplitude at the nanoscale makes metasurface a leading candidate in high-resolution image display and optical encryption. Diverse binary or grayscale meta-images were previously shown concealed in a single metasurface, yet they are mostly stored at same encryption level and share an identical decryption key, running the risk of exposing all images once the key is disclosed. Here, we propose a twofold optical display and encryption scheme demonstrating that binary and grayscale meta-images can be concurrently embedded in a nonspatially multiplexed silicon metasurface, and their decryptions demand for drastically different keys. Unlike previous metasurfaces relying on isolated transmission or phase manipulations upon orthogonal linear polarization incidences, this is made possible by exploiting silicon meta-atoms featuring joint transmission amplitude and polarization control at two wavelengths. In detail, the selected two meta-atoms exhibit large polarization-independent transmission difference (∼85 %) at a wavelength of 800 nm, while functioning as the nano-quarter-wave plate at wavelength of 1200 nm. Through elaborate design in simulation, a binary image can be witnessed when the metasurface is merely illuminated by an unpolarized light of wavelength 800 nm or under white light illumination. However, a distinct binary or grayscale image will come into view by inspecting the metasurface with an analyzer and when the incident light is circularly polarized at the wavelength of 1200 nm. Two metasurface samples are fabricated and successfully verified the claims experimentally. The proposed approach is expected to bring new insights to the field of optical display and encryption.

‘When we meet, we play football, it reminds me of home': emotions, institutional work, and sport-for-development and peace

ABSTRACT Research question While there is a growing body of scholarship on institutional work in sport, less is known about the role of emotions by which institutions are affected. This study aims to explore the role of emotions in sport-for-development and peace (SDP)-related institutional work to challenge conditions of social inequality for refugees in Kampala, Uganda. Two core research questions are: (1) How do emotions related to forced displacement inform the institutional work of an SDP organization? (2) What emotions are mobilized by refugees and an SDP organization to challenge the institution of social inequality? Research methods Guided by a participatory action research approach, fieldwork was undertaken with a refugee-led organization in Kampala. Data collection included semi-structured interviews, photovoice, and photocollaging. Ethical consent was obtained from all individuals participating in the research and for the display of images. Results and Findings The findings demonstrate that a variety of emotions experienced as positive (e.g. love of sport) or negative (e.g. stress) stimulate SDP-related work to change relations between host communities and refugees. The findings also illustrate that emotions experienced positively (e.g. nostalgia, happiness) were generated via SDP activities, including creation of sport groups related to homelands and conflict resolution among refugees and host communities. Three mechanisms – diverting, bonding, peacemaking – are identified that enabled SDP-related practices to transform refugees’ emotions. The resulting positive emotional state helped to undermine the institution of social inequality between the host community and refugees. Implications This study advances theoretical development of institutional theory in sport management by accounting for the lived experience and emotions that play a role in SDP-related institutional work.

Dielectric diatomic metasurface-assisted versatile bifunctional polarization conversions and incidence-polarization-secured meta-image.

Dielectric metasurface empowering efficient light polarization control at the nanoscale, has recently garnered tremendous research interests in the field of high-resolution image encryption and display, particularly at low-loss wavelengths in the visible band. Nevertheless, due to the single fixed polarization conversion function, the image (either positive or negative image) can always be decrypted in a host-uncontrollable manner as long as the user applies an analyzer to select the polarization component of the output light. Here, we resort to half-waveplate- and quarter-waveplate-like silicon nanopillars to form a metamolecule of a dielectric diatomic metasurface, which can yield versatile linearly polarized (LP) and circularly polarized (CP) light upon orthogonally linear-polarized incidences, providing new degrees of freedom for image display and encryption. We show both theoretically and numerically that versatile different paired LP and CP combinations could be achieved by simply adjusting the orientation angles of the two nanopillars. The bifunctional polarization conversion functions make possible that a meta-image can only be seen when incident light is linearly polarized at a specific polarization angle, whereas no image can be discerned for the orthogonal polarization incidence case, indicating the realization of incidence-polarization secured meta-image. This salient feature holds for all individual metamolecules, reaching a remarkable image resolution of 52,916 dots per inch. By fully exploiting all polarization conversions of four designed metamolecules, three-level incidence polarization-secured meta-image can also be expected.