• Title/Summary/Keyword: Image-Based Simulation

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수치사진측량과 GSIS를 이용한 최적노선선정에 관한 연구 (A Study On The Optimum Road Design in Jeju Island Using Digital Photogrammetry and GSIS)

  • 권혁춘;이병걸
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 추계학술발표회 논문집
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    • pp.519-522
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    • 2004
  • The purpose of this research is to design a road using digital photogrammatry method to generate DEM(digital elevation model) and digital ortho image based on GSIS which was applied to the road simulation. The example study area was the suburbs of Jeju city. To this study, 1/5,000 digital map and GSIS technique were used for optimum road design of the island based on Arc View software. Using this software we can Set an overlay map by combination of hill shade map, slope map, aspect map, and building buffer map. Based on this overlap map, we designed the best road line and along this line we performed three dimensional road simulation using Microstation CAD and Inroads road design programs. From the results, we found that the DEM and digital ortho image acquired from stereoairphoto using digital photogrammatry was satisfied for choosing the best roadline and the developed three dimensional road simulation technique using GSIS technique was very useful to estimate the reasonable road design before the real road construction works.

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예술작품을 통해 나타난 패션의 하이퍼리얼리티 연구 (A Study on Hyper-Reality of Fashion by Work of Art)

  • 정민아
    • 패션비즈니스
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    • 제26권5호
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    • pp.76-90
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    • 2022
  • The rapid growth and influence of digital technologies have had a profound effect on modern society. Companies and businesses can connect through SNS(social network service accounts). The importance of mass media empowers the creation of virtual images that are more realistic than time and space. Unlike traditional reproduction or imitation, the virtual images created in this way are reproduced in a form that lacks the original inspiration's essence. Jean Baudrillard described this phenomenon as the theory of simulation. Baudrillard argued that imitated simulated images replace reality. He stated that reality is lost under excessive images in modern society. In response, based on an understanding of the theory of hyper-reality that emerged through the late stages of the order of simulacre, this study aimed to analyze modern fashion's method of reproducing hyper-real images and investigate the method's characteristics. This study examined the characteristics of hyper-reality described by Baudrillard and analyzed the method of artistic expression of hyper-reality. Based on this method of expression, reproducibility, following the stages of image simulation, was derived. A specific case applied to fashion was analyzed, and based on the image reproduction method, specific characteristics of hyper-reality characteristics in fashion were obtained. Sixty-four collections were selected, out of which 155 images and 43 brands demonstrated the principles of image transformation.

The fast image encryption algorithm based on substitution and diffusion

  • Zhang, Yong;Jia, Xiaoyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권9호
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    • pp.4487-4511
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    • 2018
  • A fast image encryption system based on substitution and diffusion was proposed, which includes one covering process, one substitution process and two diffusion processes. At first, Chen's chaotic system together with an external 256-bit long secret key was used to generate the key streams for image encryption, in which the initial values of Chen's chaotic system were regarded as the public key. Then the plain image was masked by the covering process. After that the resulting image was substituted with the disturbed S-Box of AES. Finally, the substituted image was diffused twice with the add-modulo operations as the core to obtain the cipher image. Simulation analysis and comparison results with AES and some existing image cryptosystems show that the proposed image cryptosystem possesses the merits of fast encryption/decryption speed, good statistical characteristics, strong sensitivity and etc., and can be used as a candidate system of network security communication.

Numerical Modeling and Experiment for Single Grid-Based Phase-Contrast X-Ray Imaging

  • Lim, Hyunwoo;Lee, Hunwoo;Cho, Hyosung;Seo, Changwoo;Lee, Sooyeul;Chae, Byunggyu
    • 한국의학물리학회지:의학물리
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    • 제28권3호
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    • pp.83-91
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    • 2017
  • In this work, we investigated the recently proposed phase-contrast x-ray imaging (PCXI) technique, the so-called single grid-based PCXI, which has great simplicity and minimal requirements on the setup alignment. It allows for imaging of smaller features and variations in the examined sample than conventional attenuation-based x-ray imaging with lower x-ray dose. We performed a systematic simulation using a simulation platform developed by us to investigate the image characteristics. We also performed a preliminary PCXI experiment using an established a table-top setup to demonstrate the performance of the simulation platform. The system consists of an x-ray tube ($50kV_p$, 5 mAs), a focused-linear grid (200-lines/inch), and a flat-panel detector ($48-{\mu}m$ pixel size). According to our results, the simulated contrast of phase images was much enhanced, compared to that of the absorption images. The scattering length scale estimated for a given simulation condition was about 117 nm. It was very similar, at least qualitatively, to the experimental contrast, which demonstrates the performance of the simulation platform. We also found that the level of the phase gradient of oriented structures strongly depended on the orientation of the structure relative to that of linear grids.

Block-matching and 3D filtering algorithm in X-ray image with photon counting detector using the improved K-edge subtraction method

  • Kyuseok Kim;Youngjin Lee
    • Nuclear Engineering and Technology
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    • 제56권6호
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    • pp.2057-2062
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    • 2024
  • Among photon counting detector (PCD)-based technologies, the K-edge subtraction (KES) method has a very high material decomposition efficiency. Yet, since the increase in noise in the X-ray image to which the KES method is applied is inevitable, research on image quality improvement is essential. Here, we modeled a block-matching and 3D filtering (BM3D) algorithm and applied it to PCD-based X-ray images with the improved KES (IKES) method. For PCD modeling, Monte Carlo simulation was used, and a phantom composed of iodine substances with different concentrations was designed. The IKES method was modeled by adding a log term to KES, and the X-ray image used for subtraction was obtained by applying the 3.0 keV range based on the K-edge region of iodine. As a result, the IKES image using the BM3D algorithm showed the lowest normalized noise power spectrum value. In addition, we confirmed that the contrast-to-noise ratio and no-reference-based evaluation results when the BM3D algorithm was applied to the IKES image were improved by 29.36 % and 20.56 %, respectively, compared to the noisy image. In conclusion, we demonstrated that the IKES imaging technique using a PCD-based detector and the BM3D algorithm fusion technique were very efficient for X-ray imaging.

이미지 보간기법의 성능 개선을 위한 비국부평균 기반의 후처리 기법 (Non-Local Mean based Post Processing Scheme for Performance Enhancement of Image Interpolation Method)

  • 김동형
    • 디지털산업정보학회논문지
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    • 제16권3호
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    • pp.49-58
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    • 2020
  • Image interpolation, a technology that converts low resolution images into high resolution images, has been widely used in various image processing fields such as CCTV, web-cam, and medical imaging. This technique is based on the fact that the statistical distributions of the white Gaussian noise and the difference between the interpolated image and the original image is similar to each other. The proposed algorithm is composed of three steps. In first, the interpolated image is derived by random image interpolation. In second, we derive weighting functions that are used to apply non-local mean filtering. In the final step, the prediction error is corrected by performing non-local mean filtering by applying the selected weighting function. It can be considered as a post-processing algorithm to further reduce the prediction error after applying an arbitrary image interpolation algorithm. Simulation results show that the proposed method yields reasonable performance.

Virtual Prototyping of Area-Based Fast Image Stitching Algorithm

  • Mudragada, Lakshmi Kalyani;Lee, Kye-Shin;Kim, Byung-Gyu
    • Journal of Multimedia Information System
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    • 제6권1호
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    • pp.7-14
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    • 2019
  • This work presents a virtual prototyping design approach for an area-based image stitching hardware. The virtual hardware obtained from virtual prototyping is equivalent to the conceptual algorithm, yet the conceptual blocks are linked to the actual circuit components including the memory, logic gates, and arithmetic units. Through the proposed method, the overall structure, size, and computation speed of the actual hardware can be estimated in the early design stage. As a result, the optimized virtual hardware facilitates the hardware implementation by eliminating trail design and redundant simulation steps to optimize the hardware performance. In order to verify the feasibility of the proposed method, the virtual hardware of an image stitching platform has been realized, where it required 10,522,368 clock cycles to stitch two $1280{\times}1024$ sized images. Furthermore, with a clock frequency of 250MHz, the estimated computation time of the proposed virtual hardware is 0.877sec, which is 10x faster than the software-based image stitch platform using MATLAB.

이미지 보간을 위한 의사결정나무 분류 기법의 적용 및 구현 (Adopting and Implementation of Decision Tree Classification Method for Image Interpolation)

  • 김동형
    • 디지털산업정보학회논문지
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    • 제16권1호
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    • pp.55-65
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    • 2020
  • With the development of display hardware, image interpolation techniques have been used in various fields such as image zooming and medical imaging. Traditional image interpolation methods, such as bi-linear interpolation, bi-cubic interpolation and edge direction-based interpolation, perform interpolation in the spatial domain. Recently, interpolation techniques in the discrete cosine transform or wavelet domain are also proposed. Using these various existing interpolation methods and machine learning, we propose decision tree classification-based image interpolation methods. In other words, this paper is about the method of adaptively applying various existing interpolation methods, not the interpolation method itself. To obtain the decision model, we used Weka's J48 library with the C4.5 decision tree algorithm. The proposed method first constructs attribute set and select classes that means interpolation methods for classification model. And after training, interpolation is performed using different interpolation methods according to attributes characteristics. Simulation results show that the proposed method yields reasonable performance.

Triqubit-State Measurement-Based Image Edge Detection Algorithm

  • Wang, Zhonghua;Huang, Faliang
    • Journal of Information Processing Systems
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    • 제14권6호
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    • pp.1331-1346
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    • 2018
  • Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

Lossless/lossy Image Compression based on Non-Separable Two-Dimensional LWT

  • Chokchaitam, Somchart;Iwahashi, Masahiro
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.912-915
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    • 2002
  • In this report, we propose a non-separable two-dimensional (2D) Lossless Wavelet Transform (LWT) for image compression. Filter characteristics of our proposed LWT are the same as those or conventional 2D LWT based on applying 1D LWT twice but our coding performance is better due to reduction of rounding effects. Simulation results confirm effectiveness of our proposed LWT.

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