• 제목/요약/키워드: image components

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Colour Linear Array Image Enhancement Method with Constant Colour

  • Ji, Jing;Fang, Suping;Cheng, Zhiqiang
    • Current Optics and Photonics
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    • 제6권3호
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    • pp.304-312
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    • 2022
  • Digital images of cultural relics captured using line scan cameras present limitations due to uneven intensity and low contrast. To address this issue, this report proposes a colour linear array image enhancement method that can maintain a constant colour. First, the colour linear array image is converted from the red-green-blue (RGB) colour space into the hue-saturation-intensity colour space, and the three components of hue, saturation, and intensity are separated. Subsequently, the hue and saturation components are held constant while the intensity component is processed using the established intensity compensation model to eliminate the uneven intensity of the image. On this basis, the contrast of the intensity component is enhanced using an improved local contrast enhancement method. Finally, the processed image is converted into the RGB colour space. The experimental results indicate that the proposed method can significantly improve the visual effect of colour linear array images. Moreover, the objective quality evaluation parameters are improved compared to those determined using existing methods.

위성영상 및 지구물리 영상자료의 호모몰픽 필터링 적용 (Application of Homomorphic Filtering to Satellite Imagery and Geophysical Image Data)

  • 류희영;이기원;권병두
    • 한국지구과학회지
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    • 제26권1호
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    • pp.58-65
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    • 2005
  • 호모몰픽 필터링은 푸리에 변환에 기초를 둔 기법으로 주파수 영역에서 저주파 신호는 약화시키고 고주파 신호는 강화하여 영상의 대비 차를 강화시키는 처리기법이다. 호모몰픽 필터링을 위한 응용 프로그램을 개발하여 인공위성영상과 지구물리 자력탐사 자료를 이미지화한 영상에 시험적으로 적용하여 그 결과를 분석하였다. 영상평활화 기법이나 커널 마스크 처리 등과 같은 영상강화 기법에서는 추출 가능한 경계부의 위치를 변화시키거나 영상의 화소값이 전체 영상을 대상으로 변화시키는 반면에 호모몰픽 필터링은 세부적인 영상 정보의 내용을 선택적으로 강조할 수 있다. 호모몰픽 필터링은 인공위성 영상에서 복잡한 지형지물의 특성을 추출하거나 분리하는 데 효과적인 방법으로 나타났으며 지구물리 영상자료에서 이상대를 조사하는 경우에도 유용하게 적용될 수 있을 것으로 생각된다.

집합주거단지 거주자의 인지도에 따른 이미지 분석 (The Analysis of Image by Cognitive Map of residents in apartment housing)

  • 최지희
    • 대한가정학회지
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    • 제29권4호
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    • pp.45-64
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    • 1991
  • Each of us has personal and unique "Mental Images" of environment that are the results of a two-way process between an observer and his environment. By understanding of people's image on their physical settings through cognitive maps, congruent with their design environment. In this context, this study is to fine out the characteristics of the resident's image in apartment housing that are modern housing. This paper is theoretically based on Appleyard's cognitive maps types, Lynch's the components of image, Harrison and Howard's image enhancing factors and Applyard's image enhancing factors of buildings. For the purpose of this study, two-instruments were used. One was sketch mapping, that told of visual aspects of cognitive map. Another was verbal questionnaire, which was composed of nonvisual aspects of image components and image enhancing factors. For the methods of research analysis, Percentage, Frequency, and Chi-square test were used. The results of this study are as follows. Firstly, as for the types of cognitive maps, the rate of sequential maps and spatial maps are nearly same. Secondly, as for the components of images, landmarks and districts are significant elements in apartment housing, and edges, nodes and paths are rare element. Thirdly, with regard to image enhancing factors, landscaping is shown to be most effective at landmarks and districts. And finally, in examing the differences of images between various social groups, significant variables are years of living and housing size. Age and income are the next. In this study of image, we can learn about manner in which individuals come to see, understand, and cope with the environment at a personal level. So, user-oriented approach is useful in environmental design, and particularly, it is useful in the apartment housing of the future life space.

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문양 이미지에 관한 연구[ 1 ] -문양 이미지 포지셔닝 기준 개발을 중심으로- (A Study on Image of Patterns [ 1 ] - With a focus on Development on Image Positioning of Patterns -)

  • 유현정;김민자
    • 복식
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    • 제59권2호
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    • pp.29-41
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    • 2009
  • Perception between real object and recognized subject of human on objective subject is not the same. The reason Is that individual perception of visual design components are transmitted as the image of whole. It is required process of visual perception. Therefore, I developed the vision of seeing image of pattern which is based on Gestalt visual perception theory in clothes. The summary of this study's results is like followings. Extremely antagonistic terms which are specialized by formative characteristics of formative components are clearness and blur of outline/ fixed shape and non-fixed shape/ visuality and tangibility of representation/ simplicity and complexity of structure/ invariability and variability of mobility/ symmetry and asymmetry of arrangements singularity and plurality of group number. The expression of motive shows that clearness, fixed shape, visuality and simplicity pursuit Determination image, and blur, non-fixed shape, tangibility and complexity pursuit Ambiguity image. The arrangements of motive shows that invariability, symmetry and singularity pursuit Order image, and variability asymmetry and plurality pursuit Disorder image. Therefore, the standard of the coordinator of Pattern image positioning is established as Determination and Ambiguity of motive are X-axis, and Order and Disorder of pattern are Y-axis. As the frame of Pattern image positioning, four separated dimensions have made.

대형 이미지 데이터셋 구축을 위한 객체 엣지 기반 이미지 생성 기법 (Object Edge-based Image Generation Technique for Constructing Large-scale Image Datasets)

  • 이주혁;김미희
    • 전기전자학회논문지
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    • 제27권3호
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    • pp.280-287
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    • 2023
  • 딥러닝의 발전은 컴퓨터 비전 문제를 해결할 수 있지만, 높은 정확도를 위해서는 대규모 데이터셋이 필요하다. 본 논문에서는 객체 바운딩 박스와 이미지 엣지 성분을 이용한 이미지 생성 기법을 제안한다. 객체 탐지를 통해 이미지 내의 객체 바운딩 박스를 추출하고 이미지 엣지 성분을 함께 이미지 생성모델의 입력값으로 사용하여 새로운 이미지 데이터를 생성한다. 실험 결과, 제안 기법으로 생성된 이미지는 이미지 품질 평가에서 소스 이미지와 유사한 품질을 보였고, 딥러닝 훈련과정에서도 좋은 성능을 보였다.

Modified Sub-aperture Stitching Algorithm using Image Sharpening and Particle Swarm Optimization

  • Chen, Yiwei;Miao, Erlong;Sui, Yongxin;Yang, Huaijiang
    • Journal of the Optical Society of Korea
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    • 제18권4호
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    • pp.341-344
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    • 2014
  • This study proposes a modified sub-aperture stitching algorithm, which uses an image sharpening algorithm and particle swarm optimization to improve the stitching accuracy. In sub-aperture stitching interferometers with high positional accuracy, the high-frequency components of measurements are more important than the low-frequency components when compensating for position errors using a sub-aperture stitching algorithm. Thus we use image sharpening algorithms to strengthen the high-frequency components of measurements. When using image sharpening algorithms, sub-aperture stitching algorithms based on the least-squares method easily become trapped at locally optimal solutions. However, particle swarm optimization is less likely to become trapped at a locally optimal solution, thus we utilized this method to develop a more robust algorithm. The results of simulations showed that our algorithm compensated for position errors more effectively than the existing algorithm. An experimental comparison with full aperture-testing results demonstrated the validity of the new algorithm.

Gold Stripe Optical Waveguides Fabricated by a Novel Double-Layered Liftoff Process

  • Kim, Jin-Tae;Park, Sun-Tak;Park, Seung-Koo;Kim, Min-Su;Lee, Myung-Hyun;Ju, Jung-Jin
    • ETRI Journal
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    • 제31권6호
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    • pp.778-783
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    • 2009
  • To fabricate uniform and reliable thin gold stripes that provide low-loss optical waveguides, we developed a novel liftoff process placing an additional $SiN_x$ layer under conventional photoresists. By patterning a photoresist and over-etching the $SiN_x$, the photoresist patterns become free-standing structures on a lower-cladding. This leads to uniform metal stripes with good reproducibility and effectively removes parasitic structures on the edge of the metal stripe in the image reversal photolithography process. By applying the newly developed process to polymer-based gold stripe waveguide fabrication, we improved the propagation losses about two times compared with that incurred by the conventional image-reversal process.

Effect of Contamination of Liquid Crystal by Spilled Components from Color Filter

  • Kim, Young-Seok;Lee, Jeong-No
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.1469-1471
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    • 2009
  • Effect of contamination of liquid crystal on the electrical behavior of liquid crystal display (LCD) by spilled components from color filter layer was investigated. It is noted that the level of contamination was different following the kind of liquid crystal and organic layers. Transmittance curve of LCD cell was shifted by spilled components of color filter and BM materials. C-V curve also showed different behavior following color filter type. The results obtained show the image sticking of LCD can be varied by pairing liquid crystal with color filter materials.

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인간시각시스템을 고려한 칼라 영상 워터마킹 (Color Image Watermarking Using Human Visual System)

  • 이주신
    • 한국정보전자통신기술학회논문지
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    • 제6권2호
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    • pp.65-70
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    • 2013
  • 본 논문에서는 인간시각시스템을 고려한 칼라 영상 워터마킹을 제안하였다. 일반적으로 색상과 채도의 변화보다는 휘도의 변화에 더 민감한 인간의 시각의 특성을 고려하여 RGB 좌표계의 칼라 영상을 HSI 좌표계로 변환하여 워터마크를 삽입하였다. 워터마크 삽입은 원영상과 워터마크를 이산 코사인 변환하여 계수들을 합함으로써 원영상에 워터마크를 삽입하였다. 워터마크 추출은 워터마크가 삽입된 영상을 역 이산 코사인 변환하여 워터마크를 추출하였다. 실험을 위해서 원영상은 표준영상을 사용하고, 워터마크는 지문 영상을 사용하여 실험한 결과, 비가시성과 강인성을 만족하였다.

크리스찬 디올 패션의 감성 이미지 연구 (A Study on the Sensibility Image of Christian Dior Fashion)

  • 전혜정;이윤정
    • 복식
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    • 제56권8호
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    • pp.123-137
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    • 2006
  • Christian Dior has been standing to a good position in fashion and make-up for a long time, and it has been growing up continuously. The purpose of this study was to find out data that a point of view on sensibility. So first, this study analyzed image components of Christian Dior fashion, then this study examined aesthetic characters of Christian Dior fashion. For researching the image of Dior based on an historical consideration of Dior, subjects were fixed in this study. 1) Analyzing image components of Dior fashion 2) Examining image characters of Dior fashion 3) Researching consumers understand how to image of Dior fashion. The study was theoretical and established method; using more than a graduate student-major in clothing and make up, survey$(2004.5\sim6.)$ and SPSS 10 program statistics method. As the results, in Dior fashion, this study analyzed the factors of shape, color, material and texture, and that indicated character of chic, classic, gorgeous and romantic image on the foundation of elegant beauty. As consumers understood that as a same image. By analyzing the image as an emotional side, it could be fundamental data of emotional marketing for Asian.