• Title/Summary/Keyword: 콘텐츠 변환

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Blind Watermarking Algorithm Using Wavelet Transform (웨이브릿 변환을 이용한 브라인드 워터마킹 알고리즘)

  • 김재홍;이재현;김동서;주낙근
    • Proceedings of the Korea Contents Association Conference
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    • 2003.05a
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    • pp.214-217
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    • 2003
  • In this paper, we proposed an efficient blind watermarking algorithm using wavelet transform. The proposed algorithm inserts watermark into the high frequency subbands that were transformed by 1-level wavelet transform of original image. Watermark insertion is achieved by exchanging each the corresponding coefficients in the HL, LH, HH subbands according to be inserted watermark value. And watermark is extracted by the relation of wavelet coefficients without original image. Experimental results demonstrate that watermarked image has a good quality not to be able to be perceptible and is robust various attacks such as JEPG lossy compression, clipping and sharpening.

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Noise Reduction of Digital Image Using Wavelet Coefficient (웨이블릿 계수를 이용한 디지털영상에서의 잡음제거)

  • 남현주;최승권;신승수;조용환
    • Proceedings of the Korea Contents Association Conference
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    • 2003.05a
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    • pp.376-382
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    • 2003
  • Recently, there have been many types of wavelet transformations proposed to remove the noise from an signal and image data By using feature of seperating the noise from the original image the Wavelet transformations can retain the edges of the images The wavelet analysis is complete when the basis function is coded into the wavelet This Thesis describes a method of using wavelet transformation to remove the noise from an image signal. Although the wavelet transformation proposed by Donoho and Johnstone works, it does not reliably remove all the noise from the images. So this thesis propose an algorithm that selected Wavelet Shrinkgae and threshold according to the features of bands and amplitude of noise.

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Medical Image Compression in the Wavelet Transform Domain (Wavelet 변환 영역에서 의료영상압축)

  • 이상복;신승수
    • The Journal of the Korea Contents Association
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    • v.2 no.4
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    • pp.23-29
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    • 2002
  • This paper suggest the image compression that is needed to process PACS in medical information system. The image decoding method is used Linear-predictor and Lloyd-Max quantizer(quantization) in the Wavelet transform domain. Wavelet Transform Method is processed the multi-resolution by dividing image into 10 sub-bands of 3 levels. Low frequency domain that is sensitive to human visual characteristic is encoded by DPCM which is lossless encoding methods, and Lloyed-Max quantizer, the optimal quantizer for reducing ringing and aliasing in the image of inter sub-band, is used in the remaining high frequency domain of sub-band. The examination verifies that decompressed images are superior by the result that PSNR is 28.53dB on the input image, 512$\times$152 abdominal CT image and Chest image.

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Design of e-Learning System in N-Screen Environment (N-Screen 환경 기반의 이러닝 시스템 설계 방안)

  • Shin, Yu-Jin;Seo, Dongsu;Hong, Seng-Phil
    • Journal of Internet Computing and Services
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    • v.13 no.5
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    • pp.45-53
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    • 2012
  • The appearance of Intelligent mobile and home appliance increased the using of not only various multimedia contents but also educational contents. Especially the growth of smart device such as smart phone, smart pad and smart TV, provided the environment which everyone can use educational content anytime, anywhere, any device. However many smart devices are hard to reuse the various educational contents because the devices and mobile os policies are not unify. In this paper, we suggest the design of NeS(N-Screen e-learning system) in order to solve this problem. NeS is consisted of User Management, Educational Content Management, Content Convert System and Interactive Management System. In this system, we use the HTML5 language to assure interoperability in various Smart Device Environment. Through NeS, we can achieve Content OSMU(One Source Multi Use) in various device environment and assure the continuity of the contents for using the educational contents more easily.

Generation of Stereoscopic Image from 2D Image based on Saliency and Edge Modeling (관심맵과 에지 모델링을 이용한 2D 영상의 3D 변환)

  • Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.20 no.3
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    • pp.368-378
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    • 2015
  • 3D conversion technology has been studied over past decades and integrated to commercial 3D displays and 3DTVs. The 3D conversion plays an important role in the augmented functionality of three-dimensional television (3DTV), because it can easily provide 3D contents. Generally, depth cues extracted from a static image is used for generating a depth map followed by DIBR (Depth Image Based Rendering) rendering for producing a stereoscopic image. However except some particular images, the existence of depth cues is rare so that the consistent quality of a depth map cannot be accordingly guaranteed. Therefore, it is imperative to make a 3D conversion method that produces satisfactory and consistent 3D for diverse video contents. From this viewpoint, this paper proposes a novel method with applicability to general types of image. For this, saliency as well as edge is utilized. To generate a depth map, geometric perspective, affinity model and binomic filter are used. In the experiments, the proposed method was performed on 24 video clips with a variety of contents. From a subjective test for 3D perception and visual fatigue, satisfactory and comfortable viewing of 3D contents was validated.

Data Encryption Technique for Depth-map Contents Security in DWT domain (깊이정보 콘텐츠 보안을 위한 이산 웨이블릿 변환 영역에서의 암호화 기술)

  • Choi, Hyun-Jun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.5
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    • pp.1245-1252
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    • 2013
  • As the usage of digital image contents increase, a security problem for the payed image data or the ones requiring confidentiality is raised. This paper propose a depth-map image contents encryption methodology to hide the depth information. This method is performed on the frequency coefficients in the Wavelet domain. This method, by selecting the level and threshold value for the wavelet transform, encryption at various strengths are possible. The experimental results showed that encrypting only 0.048% of the entire data was enough to hide the constants of the depth-map. The encryption algorithm expected to be used effectively on the researches on encryption and others for image processing.

Encryption Algorithm using Fresnel Transform (프레넬 변환을 이용한 암호화 알고리즘)

  • Lee, Yoon-Hyuk;Seo, Young-Ho;Kim, Dong-Wook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.07a
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    • pp.38-39
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    • 2015
  • 최근 고 해상도의 콘텐츠의 보급이 늘어나는데 이에 따라 암호화를 위한 계산 량과 시간이 증가하였다. 본 논문은 고 해상도의 콘텐츠에서 많은 양의 암호화 계산과 시간을 줄이기 위해 프레넬 변환을 이용한 암호화 방법을 제안하였다. 프레넬 변환을 통하여 획득한 회절 영상은 거리에 따라 가운데로 집중되는 특성을 가지는데, 고 해상도의 영상을 먼 거리에서의 회절 영상을 획득하여 가운데의 집중된 영역에 암호화를 수행하여 암호화 영역을 줄여 계산 량을 줄일 수 있다. 본 논문에서 제안하는 암호화 알고리즘을 구현하여 10m의 거리일 때 0.004%의 데이터만 암호화 하여 모든 데이터를 숨길 수 있다.

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Face Recognition using wavelet transform and PCA/LDA (웨이브릿 변환과 PCA/LDA를 이용한 얼굴 인식)

  • 송영준;김영길;문성원;권혁봉
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.392-395
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    • 2004
  • It was recently focus to face recognition at a security system according to development of computer. The face recognition has method using geometrical feature and one using statistical feature. The proposed method uses k level LL, LH, HL, HH subband images adopting wavelet transform. And, we adopt PCA/LDA to subband images. As a result of simulation, recognition rate of subband images using wavelet transform is more high than one of full size image.

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A study on stereoscopic 3D video contents conversion (스테레오스코픽 3D 동영상 크기 변환 방법에 관한 연구)

  • Lee, Bongho;Park, Youngsoo;Cheong, Won-Sik;Hur, Namho
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.47-50
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    • 2012
  • 스테레오스코픽 3D 동영상의 콘텐츠 부족을 해결할 수 있는 간단한 방법 중의 하나는 스테레오스코픽 3D 동영상 콘텐츠를 크기 변환 방법을 통해 다양한 3D 디스플레이에서 볼 수 있게 하는 것이다. 이를 위해 본 논문에서는 스테레오스코픽 3D 주의 시각 모델을 바탕으로 관심 영역을 설정하고, 이를 동영상으로 확장시키기 위해 장면 전환을 기준으로 영상을 그룹화한 후, 동일 관심 영역 윈도를 적용시켜 이를 목표 디스플레이에 맞게 크기 변환하는 방법을 제안한다. 실험 결과, 제안한 방법을 이용한 결과 영상이 보다 효율적으로 스테레오스코픽 3D 영상을 목표 디스플레이에서 보여줄 수 있음을 알 수 있다.

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Real-Time Stereoscopic Image Conversion Using Motion Detection and Region Segmentation (움직임 검출과 영역 분할을 이용한 실시간 입체 영상 변환)

  • Kwon Byong-Heon;Seo Burm-suk
    • Journal of Digital Contents Society
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    • v.6 no.3
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    • pp.157-162
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    • 2005
  • In this paper we propose real-time cocersion methods that can convert into stereoscopic image using depth map that is formed by motion detection extracted from 2-D moving image and region segmentation separated from image. Depth map which represents depth information of image and the proposed absolute parallax image are used as the measure of qualitative evaluation. We have compared depth information, parallax processing, and segmentation between objects with different depth for proposed and conventional method. As a result, we have confirmed the proposed method can offer realistic stereoscopic effect regardless of direction and velocity of moving object for a moving image.

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