• Title/Summary/Keyword: Image Transformation

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A Study on the Formation Factors of Grotesque Image expressed in Fashion (복식에 표현된 그로테스크 이미지의 형성 요인에 관한 연구)

  • 남미현
    • Journal of the Korea Fashion and Costume Design Association
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    • v.4 no.3
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    • pp.43-54
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    • 2002
  • Some factors had influence upon the grotesque image formation expressed in fashion: for instance, thanatos, religions, fin de siecle (end of the century), the aesthetics of ugliness, subculture group's resistance and technology development, etc. Those factors have formed a grotesque while exchanging influence each other, and have following features: First, the thanatos, which is destructive and aggressive instinct of the inner world of human being, creates frightening object and motif to form the images of grotesque. Second, from religious point of view, the church made the Devil a tool for maintenance of power: They manipulated physical body and give a damage to it to sublimate it in holy existence, so that they could feel catharsis. Third, there was fin de siecle (end of the century) to let people have negative life attitude, such as uneasiness on following century, eschatology, skepticism and nihilism, etc. Fourth, the ugliness having unpleasantness and disharmony occupies governing position when our society becomes corrupted and uneasy, and the aesthetics of ugliness discloses the inconsistency of ideal and beautiful life in the grotesque images. Fifth, subculture groups, i.e., the lower classes, homosexual and the youth's group, etc, form the grotesque images by political and ideological resistance, complaints and specific identity, etc concerning governing culture keeping traditional ethics consciousness. Sixth, recent technology development has destroyed a boundary between human being and machinery, and bio-technology development has created transplant operation, plastic operation and other human body transformation operations, and genome research, etc has raised human being's identity.

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A study on the Significance of Hand Image in Animation (애니메이션 텍스트와 이미지로써 손의 의미작용에 관한 연구)

  • Kim, Yun-Kyung
    • Cartoon and Animation Studies
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    • s.14
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    • pp.53-63
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    • 2008
  • This paper examines the expression of hand appeared in animation. The hand changed its role from the status of the traditional representation to the enlarged meaning; the hand image has shown the individual consciousness and the social reality that has been reflected to our society. On the basis of clarify these concern, the hand appeared in animation gives a new communication and another way to express reality. Futhermore, the hand is no longer an image with realistic representation which generated a form of the consciousness of human being based on the reflection of its own self-identify through the exaggeration and transformation. This means that the hand as a whole is represented by naming one of its parts or vice versa. Therefore, the main purpose of this paper to study the effect and signification process which a synecdoche creates on the work of animation. In conclusion, the expression of hand as new interpretation appeared in animation adapts itself to changing the perspective on animation.

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Compression Method for Digital Hologram using Motion Prediction Method in Frequency-domain (주파수 영역에서 움직임 예측을 이용한 디지털 홀로그램 압축 기법)

  • Choi, Hyun-Jun;Bae, Yun-Jin;Seo, Young-Ho;Kang, Chang-Soo;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.9
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    • pp.2091-2098
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    • 2010
  • This paper proposes a hologram data compression scheme that uses the existing image/video compression techniques, in which the existing techniques are modified appropriately to fit to the characteristics of hologram. In this paper we use CGH as the hologram data. The proposed scheme uses the generation characteristics of a CGH to consist of a pre-processing, spatial segmentation of a CGH, frequency-transformation with 2D-DCT (2-dimensional discrete cosine transform), and motion estimation and residual image generation in the frequency-domain. It uses H.264/AVC, the lossless compressor BinHex, and a linear quantizer that we have made. From the experiments the proposed scheme showed the image quality of about 25.4 dB at the compression ratio of 10:1 and about 16.5dB at 90:1 compression ratio.

Epipolar Resampling from Kompsat-2 and Kompsat-3 (아리랑 위성 2호와 3호를 이용한 이종 영상 간 에피폴라 영상 생성)

  • Song, Jeong-Heon;Oh, Jae-Hong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.4
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    • pp.156-166
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    • 2014
  • As of 2014, KARI (Korea Aerospace Research Institute) operates two high-resolution satellites such as Kompsat-2 and Kompsat-3. Kompsat-3 has capability of in-track stereo images acquisition but it is quite limited because the stereo mode lowers the spatial coverage in a trajectory. In this paper we analyze the epipolar geometry from the heterogeneous Kompsat-2 and Kompsat-3 image combination to epipolar resample them for 3D spatial data acquisition. The analysis was carried out using the piecewise approach with RPCs (Rational Polynomial Coefficients) and the result showed the parabolic epipolar curve pattern. We also concluded that the third order polynomial transformation is required for epipolar image resampling. The resampled image pair showed 1 pixel level of y-parallax and can be used for 3D display and digitizing.

Recognition of characters on car number plate and best recognition ratio among their layers using Multi-layer Perceptron (다중퍼셉트론을 이용한 자동차 번호판의 최적 입출력 노드의 비율 결정에 관한 연구)

  • Lee, Eui-Chul;Lee, Wang-Heon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.1
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    • pp.73-80
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    • 2016
  • The Car License Plate Recognition(: CLPR) is required in searching the hit-and-run car, measuring the traffic density, investigating the traffic accidents as well as in pursuing vehicle crimes according to the increasing in number of vehicles. The captured images on the real environment of the CLPR is contaminated not only by snow and rain, illumination changes, but also by the geometrical distortion due to the pose changes between camera and car at the moment of image capturing. We propose homographic transformation and intensity histogram of vertical image projection so as to transform the distorted input to the original image and cluster the character and number, respectively. Especially, in this paper, the Multilayer Perceptron Algorithm(: MLP) in the CLPR is used to not only recognize the charcters and car license plate, but also determine the optimized ratio among the number of input, hidden and output layers by the real experimental result.

On Extending JPEG Compression Method Using Line-based Differential Coding (행/열 단위 증분 부호화를 이용한 JPEG 압축 기법 확장에 관한 연구)

  • Park, Dae-Hyun;Ahn, Young-Hoon;Shin, Hyun-Joon;Wee, Young-Cheul
    • Journal of the Korea Computer Graphics Society
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    • v.15 no.3
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    • pp.11-18
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    • 2009
  • In this paper, we introduce a novel method to extend the JPEG standard, which is the most widely used for lossy image compression, in order to improve compression ratio. To employ two of the most successful methodologies for the data compression: differential coding and quantization simultaneously, we propose a line-based approach. For each line in a block, we apply one-dimensional discrete cosine transformation to the increments instead of the pixel values. Those values are quantized and entropy-coded similarly to the JPEG standard. To further increase compression ratio, the proposed method is plugged into the JPEG standard to form a new compression method, in which the proposed method are applied to only selected JPEG blocks. In our experiment, we found that the proposed method outperform the JPEG standard when the qualities of the coded images are set to be high. We believe the proposed method can be simply plugged into the standard to improve its compression ratio for higher quality images.

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Content-Based Image Retrieval using Region Feature Vector (영역 특징벡터를 이용한 내용기반 영상검색)

  • Kim Dong-Woo;Song Young-Jun;Kim Young-Gil;Ah Jae-Hyeong
    • The KIPS Transactions:PartB
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    • v.13B no.1 s.104
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    • pp.47-52
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    • 2006
  • This paper proposes a method of content-based image retrieval using region feature vector in order to overcome disadvantages of existing color histogram methods. The color histogram methods have a weak point that reduces accuracy because of quantization error, and more. In order to solve this, we convert color information to HSV space and quantize hue factor being purecolor information and calculate histogram and then use thus for retrieval feature that is robust in brightness, movement, and rotation. Also we solve an insufficient part that is the most serious problem in color histogram methods by dividing an image into sixteen regions and then comparing each region. We improve accuracy by edge and DC of DCT transformation. As a result of experimenting with 1,000 color images, the proposed method has showed better precision than the existing methods.

Fast Stitching Algorithm by using Feature Tracking (특징점 추적을 통한 다수 영상의 고속 스티칭 기법)

  • Park, Siyoung;Kim, Jongho;Yoo, Jisang
    • Journal of Broadcast Engineering
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    • v.20 no.5
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    • pp.728-737
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    • 2015
  • Stitching algorithm obtain a descriptor of the feature points extracted from multiple images, and create a single image through the matching process between the each of the feature points. In this paper, a feature extraction and matching techniques for the creation of a high-speed panorama using video input is proposed. Features from Accelerated Segment Test(FAST) is used for the feature extraction at high speed. A new feature point matching process, different from the conventional method is proposed. In the matching process, by tracking region containing the feature point through the Mean shift vector required for matching is obtained. Obtained vector is used to match the extracted feature points. In order to remove the outlier, the RANdom Sample Consensus(RANSAC) method is used. By obtaining a homography transformation matrix of the two input images, a single panoramic image is generated. Through experimental results, we show that the proposed algorithm improve of speed panoramic image generation compared to than the existing method.

Design and Implementation of Frontal-View Algorithm for Smartphone Gyroscopes (스마트폰 자이로센서를 이용한 Frontal-View 변환 알고리즘 설계 및 구현)

  • Cho, Dae-Kyun;Park, Seok-Cheon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.6
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    • pp.199-206
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    • 2012
  • Attempt to use as a marker of natural objects directly in the real world, but there is a way to use the accelerometer of the smartphone, to convert the Frontal-View virtual, because it asks only the pitch of the camera, from the side there is a drawback that can not be converted to images. The proposed algorithm, to obtain the rotation matrix of axis 3 pitch, roll, yaw, we set the reference point of the yaw of the target image. Then, to compensate for the rotation matrix to determine Myon'inji any floor, wall, the ceiling of the target image. Finally, to obtain the homography matrix for obtaining the Frontal-View to account for the difference between the gyro sensor coordinate system and image coordinate system, so we can get the Frontal-View from the captured images through the projection transformation was designed. Was tested to convert Frontal-View the picture was taken in an environment smartphone environment surrounding floor, walls and ceiling in order to evaluate the conversion program Frontal-View has been implemented, in this paper, design and The conversion algorithm implementation, it was confirmed that to convert a regular basis Frontal-View footage taken from multiple angles.

Mobile Watermarking Based on the Distortion Analysis of Display-Capture Image in a Smart Phone (스마트폰에서 디스플레이-캡쳐 영상의 왜곡분석에 기반한 모바일 워터마킹)

  • Bae, Jong-Wook;Jung, Sung-Hwan
    • Journal of Korea Multimedia Society
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    • v.15 no.7
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    • pp.847-858
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    • 2012
  • In this paper, we propose a mobile watermarking based on the distortion analysis of display-capture image in a smart phone. We compose a random sequence by utilizing the property of frequency band in the wavelet domain. Then we calculate the CCS (Coefficients Comparative Sum) using the block wavelet coefficients of selected subbands after the wavelet transformation and the random sequence and repeatedly embed a watermark using an insertion threshold for the watermark robustness. For correcting a distortion caused by the display-capture process, we adopt a frame at the outside of watermarked image, then we can equate a watermark synchronization by detecting the frame. And we can improve frame detection ratio by using an iteratively adaptive threshold. A proposed scheme embedded information of 206 bits into standard digital images and it shows an average about 41.42 dB in PSNR. In watermark extract experiments, a proposed scheme accurately recognizes the frame more than 97% in total captured images. Also in BER (Bit Error Ratio) of captured images, it shows about 3.73%, then it was improved more than 70%, compared with the Pramila's method.