• Title/Summary/Keyword: Expected Image

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A Study on Implementation of Video Recording System utilizing Unified and integrated information for intersection (통합영상정보 생성을 활용한 교차로 영상기록장치 시스템 구현에 관한 연구)

  • Im, Pil-Sub;Im, Yo-Wung;Kim, Chun-Suk
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.8
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    • pp.783-792
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    • 2016
  • This paper is Intersection image recording system for transmitting to the central center after integrating the intersection image and signal split image into one image information. The system was configured to collect the intersection image and the signal split image and transmitted to the central center after integrating images into one image and recorded. The system is expected to be effective in preventing a secondary accident by immediately propagate the accident information and reduce the time it takes to dispute and determine the cause of the accident.

An Image-Based Annotation for DICOM Standard Image (DICOM 표준 영샹을 위한 이미지 기반의 주석)

  • Jang Seok-Hwan;Kim Whoi-Yul
    • Journal of Korea Multimedia Society
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    • v.7 no.9
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    • pp.1321-1328
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    • 2004
  • In this article, we present a new DICOM object able to create image-based annotations in DICOM image. Since the proposed image-based annotation uses images themselves of annotation, various types like character, sketch, and scanning image, etc., can be imported into annotation easily. The proposed annotation is inserted into DICOM image directly but they do not influence original DICOM image quality by using independent data channel. The proposed annotation is expected to be very useful to medium and small clinics that cannot afford picture archiving and communication systems or electronic medical record.

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A Study on the Resolution Enhancement of Digital Image by Area-Based Matching (영역기반정합에 의한 수치영상의 해상도 강화에 관한 연구)

  • 오원진;배연성;주영은
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.18 no.3
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    • pp.263-269
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    • 2000
  • As the accuracy of digital photogrammetry is restricted by the resolution of image to be used, it is axiomatic that the resolution of image should be improved. As for the method to constitute hardware with CCD sensor that capacity was expanded or the method to acquire the image of high resolution by deciding the quantity of sub-pixel in advance through moving sensor, the price is expensive. This study tries to enhance the resolution of low resolution image by acquiring the image with the digital camera that the price is cheap and deciding shifts and rotations through matching multiple digital image by means of least square method. As the result of study, the resolution of digital image was improved greatly. So, not only the digital photogrammetry which has the competitive power of price economically is possible in the future but also the application is expected widely.

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Adaptive Feature Selef-selection and Multiple SOFM Neural network for Content-based image Retrieval System (내용기반 복합 영상 검색 시스템을 위한 적응적 특징 자가선택과 다중 SOFM 신경망)

  • 임승린
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.2
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    • pp.22-29
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    • 2000
  • The purpose of this paper is to propose a method to maximize a content-based image retrieval efficiency in multiple images. To perform an image retrieval job efficiently, it is necessary to minimize the number of candidate-images. Furthermore, a miximum efficiency of image retrieval could not be expected if an image retrieval job in the multiple images is done on the basis of patterns of single image distinctive features. In this method, a multiple SOFM neural network system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in the multiple images. In this method. an image retrieval efficiency is improved 3% than individual features and the number of candidate-images is reduced by the multiple SOFM neural network system.

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The Linkages among Restaurant Image, Food and Beverage Price, Value and Service Quality (레스토랑 이미지, 식음료 가격, 가치와 서비스 품질과의 관계)

  • Kang, Jong-Heon;Ko, Beom-Seok
    • Journal of the East Asian Society of Dietary Life
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    • v.17 no.2
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    • pp.266-273
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    • 2007
  • The purpose of this study was to measure the effects of service quality mediating the linkage among food and beverage price, restaurant image and value. A total of 273 questionnaires were completed. MANOVA, ANOVA and ANCOVA were used to measure the mediating effect of service quality on the relationships among food and beverage price, restaurant image, and value. The effects of food and beverage price and restaurant image on service quality and value were statistically significant. As expected, when food and beverage price and service quality were regressed on the value, the service quality was significant and the effect of the food and beverage price was reduced. Moreover, when restaurant image and service quality were regressed on the value, the restaurant image and service quality had a significant effects on value. The results demonstrated that service quality played a mediating role in the relationship between food and beverage price and value, and between restaurant image and value.

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The Evaluation Model of Aggregate Distribution for Lightweight Concrete Using Image Analysis Method (이미지 분석을 이용한 경량골재 콘크리트의 골재분포 판정기법 개발)

  • Ji, Suk-Won
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.10
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    • pp.11-18
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    • 2018
  • In this study, the cross-sectional image has been acquired to evaluate the aggregate distribution affecting quality of lightweight aggregate concrete, and through the binarization method, the study is to calculate the aggregate area of upper and lower sections to develop the method to assess the aggregate distribution of concrete. The acquisition of cross-section image of concrete for the above was available from the cross-sectional photography of cleavage tension of a normal test specimen, and an easily accessible and convenient image analysis software was used for image analysis. As a result, through such image analyses, the proportion of aggregate distribution of upper and lower sections of the test specien could be calculated, and the proportion of aggregate area U/L value of the upper and lower regions of concrete cross-section was calculated, revealing that it could be used as the comprehensive index of aggregate distribution. Moreover, through such method, relatively easy image acquisition methods and analytic methods have been proposed, and this indicated that the development of modeling to assess aggregate distribution quantitatively is available. Based on these methods, it is expected that the extraction of fundamental data to reconsider the connectivity with processes in concrete will be available through quality assessment of quantitative concrete.

Design of JPEG Core for Real-Time Image Compression and Decompression (실시간 영상 압축 및 복원 기능을 갖는 JPEG 코어 설계)

  • 김성오;김상현;김승호;조경순
    • Proceedings of the IEEK Conference
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    • 2002.06b
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    • pp.301-304
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    • 2002
  • This paper describes the design and implementation results of JPEG core, based on the ITU-T Recommendation T.81. We designed the RTL circuit in Verilog HDL, making reference to the JPEG program from the Independent JPEG Group. The circuit has been simulated with Verilog-XL, synthesized with Design Compiler and verified using Altera FPGA. Since the synthesized circuit includes a small number of gates, it is expected to be used as a core module in image processing SOC.

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A Design of ADPCM CODEC Core for Digital Voice and Image Processing SOC (디지털 음성 및 영상 처리용 SOC를 위한 ADPCM CODEC 코어의 설계)

  • 정중완;홍석일;한희일;조경순
    • Proceedings of the IEEK Conference
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    • 2001.06b
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    • pp.333-336
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    • 2001
  • This paper describes the design and implementation results of 40, 32, 24 and 16kbps ADPCM encoder and decoder circuit, based on the protocol CCITT G.726. We verified the ADPCM algorithm using C language and designed the RTL circuit with Verilog HDL. The circuit has been simulated by Verilog-XL, synthesized by Design Compiler and verified using Xilinx FPGA. Since the synthesized circuit includes a small number of gates, it is expected to be used as a core module in the digital voice and image processing SOC.

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Comparison of GAN Deep Learning Methods for Underwater Optical Image Enhancement

  • Kim, Hong-Gi;Seo, Jung-Min;Kim, Soo Mee
    • Journal of Ocean Engineering and Technology
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    • v.36 no.1
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    • pp.32-40
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    • 2022
  • Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately.

City Brand Image of Dubai Using Big Data Analytics : Application of Interpretation Methods (빅데이터를 활용한 도시 브랜드 이미지 분석과 응용 해석)

  • Woo, Mina
    • Journal of Information Technology Services
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    • v.17 no.1
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    • pp.17-32
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    • 2018
  • The city image is considered one of important symbolic and important factors in selecting the travel destination. Many cities are trying to be an attractive and popular city to tourists through the construction of a good brand image by utilizing their representative characteristics. This study measures the city brand image by applying a big data analytic method. In addition, the big data measurement results were rearranged and analyzed to identify further detailed city images by utilizing several previous interpretation methods. Our study has chosen Dubai since this city has the diverse images due to its regional as well as economic characteristics. In particular, nowadays Dubai has been recognized as one of the most important touristic places in the Middle East region for its modern and innovative images in spite of the limitations of location, weather, religion, and even political issues of neighbor countries. Founded on a big data analysis rather than a questionnaire-based survey, the presented interpretation methods are evaluated to improve the understanding of Dubai's diverse city images. In addition, based on the results of this research, it is expected to have a practical impact on establishing the effective marketing strategies to build and implement the valuable city brand image.