• Title/Summary/Keyword: Image Use

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A Study on Invisibility Improvement of Watermarking Image (워터마킹 영상의 비가시성 개선에 관한 연구)

  • Min, Hye-Lan;Lee, Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.910-913
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    • 2005
  • The use of digital imaging technique and digital contents based on internet has grown rapidly for last several years, and the needs of digital image protection become more important. For the purpose of copyright protection on digital image, the verification of authentication techniques like content authentication, ownership authentication, illegal copy and etc are needed. Digital watermarking, the invisible encryption technique to insert digital watermark into image, the sophisticated perceptual information should be used for providing transparency and robustness of images on watermarking process. In this paper, we implement the algorithm for preventing forged attack, ownership protection and authentication by transforming the wavelet algorithms in frequency domain in terms of human visual system.

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Invisibility Improvement of Watermarking Image Based on Wavelet (웨이브릿 기반의 워터마킹 영상의 비가시성 개선)

  • Kim Hyeong-Gyun;Kim Yong-Ho;Lee Sang-Beom;Bae Yong-Guen
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.717-720
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    • 2006
  • The use of digital imaging technique and digital contents based on internet has grown rapidly for last several years, and the needs of digital image protection become more important. for the purpose of copyright protection on digital image, the verification of authentication techniques like content authentication, ownership authentication, illegal copy and etc are needed. Digital watermarking, the invisible encryption technique to insert digital watermark into image, the sophisticated perceptual information should be used for providing transparency and robustness of images on watermarking process. In this paper, we implement the algorithm for preventing forged attack, ownership protection and authentication by transforming the wavelet algorithms in frequency domain in terms of human visual system.

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COMPONENT-BASED ARCHITECTURE DESIGN FOR EAST INTEROPERABILITY IN SATELLITE IMAGE PROCESSING

  • Yoon, Chang-Pak;Kim, Kyung-Ok;Yang, Young-Kyu
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.45-48
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    • 2002
  • Satellite image processing software should be able to support interoperability that is to enable consumers, citizens, large and small businesses and governments to make the fullest possible use of the world's spatial data and spatial processing resources. The goal of interoperability is to perform hands-on research, development, testing, fielding, and validation of potential and existing interoperable geoprocessing technologies. In this paper, component based architecture for fast interoperability is designed to maximize interoperability among the OpenGIS components specified in the OpenGIS abstract specifications and implementation specifications and to mix up the OpenGIS components and the fast access mechanism for high performance.

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Reconstruction of Buildings from Satellite Image and LIDAR Data

  • Guo, T.;Yasuoka, Y.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.519-521
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    • 2003
  • Within the paper an approach for the automatic extraction and reconstruction of buildings in urban built-up areas base on fusion of high-resolution satellite image and LIDAR data is presented. The presented data fusion scheme is essentially motivated by the fact that image and range data are quite complementary. Raised urban objects are first segmented from the terrain surface in the LIDAR data by making use of the spectral signature derived from satellite image, afterwards building potential regions are initially detected in a hierarchical scheme. A novel 3D building reconstruction model is also presented based on the assumption that most buildings can be approximately decomposed into polyhedral patches. With the constraints of presented building model, 3D edges are used to generate the hypothesis and follow the verification processes and a subsequent logical processing of the primitive geometric patches leads to 3D reconstruction of buildings with good details of shape. The approach is applied on the test sites and shows a good performance, an evaluation is described as well in the paper.

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Simple image artifact removal technique for more accurate iris diagnosis

  • Kim, Jeong-lae;Kim, Soon Bae;Jung, Hae Ri;Lee, Woo-cheol;Jeong, Hyun-Woo
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.169-173
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    • 2018
  • Iris diagnosis based on the color and texture information is one of a novel approach which can represent the current state of a certain organ inside body or the health condition of a person. In analysis of the iris images, there are critical image artifacts which can prevent of use interpretation of the iris textures on images. Here, we developed the iris diagnosis system based on a hand-held typed imaging probe which consists of a single camera sensor module with 8M pixels, two pairs of 400~700 nm LED, and a guide beam. Two original images with different light noise pattern were successively acquired in turns, and the light noise-free image was finally reconstructed and demonstrated by the proposed artifact removal approach.

Colorization of C-Scan Ultrasonic Image and Automatic Evaluation Algorithm of Welding Quality (C-Scan 초음파 영상 컬러화 및 용접 품질 자동 평가 시스템)

  • Kim, Tae-Kyu;Kwon, Seong-Geun
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1271-1278
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    • 2018
  • The NDT using ultrasonic is largely divided into A-Scan and C-Scan methods. Since A-Scan method is subject to subjective judgement by trained personnel, C-Scan method has been introduced, which presents the weld area in two dimensions by placing the transducers two dimensionally used in the A-Scan method. Therefore, it is necessary to develop equipment that can provide weld quality without the help of a welding expert and the presentation of effective C-Scan images. Thus, in this paper, the algorithms that express a low resolution 2-dimensional gray image formed by C-Scan method as a high-resolution color C-Scan image and automatically determine the weld quality from the generated C-Scan color image. The high resolution color C-Scan images proposed in this paper allow the exact shape of the weld point to be expressed, and an objective algorithm to use this image to automatically determine weld quality.

Associative Interactive play Contents for Infant Imagination

  • Jang, Eun-Jung;Lee, Chankyu;Lim, Chan
    • International journal of advanced smart convergence
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    • v.8 no.1
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    • pp.126-132
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    • 2019
  • Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

Foreign Detection Based on Wavelet Transform Algorithm with Image Analysis Mechanism in the Inner Wall of the Tube

  • Zhu, Jinlong;Yu, Fanhua;Sun, Mingyu;Zhao, Dong;Geng, Qingtian
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.34-46
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    • 2019
  • A method for detecting foreign substances in mould based on scatter grams was presented to protect moulds automatically during moulding production. This paper proposes a wavelet transform foreign detection method based on Monte Carlo analysis mechanism to identify foreign objects in the tube. We use the Monte Carlo method to evaluate the image, and obtain the width of the confidence interval by the deviation statistical gray histogram to divide the image type. In order to stabilize the performance of the algorithm, the high-frequency image and the low-frequency image are respectively drawn. By analyzing the position distribution of the pixel gray in the two images, the suspected foreign object region is obtained. The experiments demonstrate the effectiveness of our approach by evaluating the labeled data.

Design and Implementation of Image Segmentation Tx/Rx Technology Based On BLE(Bluetooth Low Energy) Multiple Access Technology for Image Block Devices (이미지 블록 디바이스를 위한 BLE 다중 접속기술 기반 이미지 분할 송수신 기술의 설계 및 구현)

  • Kwak, Chang-Sub;Lee, Young-Soon
    • Journal of Korea Multimedia Society
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    • v.24 no.6
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    • pp.825-837
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    • 2021
  • The Bluetooth Low Energy profile has the advantage of continuing wireless communication with very little power consumption compared to the existing Bluetooth, so it is widely applied to smart devices. Most of them are applied to Point-to-Point (1:1) communication between Central (Master) and Peripheral (Slave), but can be applied to Point-to-Multiple (1:N) wireless communication through the use of multiple threads and timers. Therefore, in this paper, a precise timer was designed in the BLE profile to devise an image segmentation transmission/reception structure based on multiple access, and a smart image block device applied to it was designed and verified.

Design of Image Generation System for DCGAN-Based Kids' Book Text

  • Cho, Jaehyeon;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.16 no.6
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    • pp.1437-1446
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    • 2020
  • For the last few years, smart devices have begun to occupy an essential place in the life of children, by allowing them to access a variety of language activities and books. Various studies are being conducted on using smart devices for education. Our study extracts images and texts from kids' book with smart devices and matches the extracted images and texts to create new images that are not represented in these books. The proposed system will enable the use of smart devices as educational media for children. A deep convolutional generative adversarial network (DCGAN) is used for generating a new image. Three steps are involved in training DCGAN. Firstly, images with 11 titles and 1,164 images on ImageNet are learned. Secondly, Tesseract, an optical character recognition engine, is used to extract images and text from kids' book and classify the text using a morpheme analyzer. Thirdly, the classified word class is matched with the latent vector of the image. The learned DCGAN creates an image associated with the text.