• 제목/요약/키워드: Korea national image

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KOMPSAT-3 영상 모자이킹을 위한 경계선 추정 방법에 대한 연구 (A Study on the Seamline Estimation for Mosaicking of KOMPSAT-3 Images)

  • 김현호;정재헌;이동한;서두천
    • 대한원격탐사학회지
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    • 제36권6_2호
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    • pp.1537-1549
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    • 2020
  • KOMPSAT-3의 지상해상도는 전정색 밴드: 0.7 m, 다중 스펙트럴 밴드: 2.8 m이며, 관측 폭의 경우 16 km이다. 따라서 관측 폭(16 km) 보다 넓은 지역의 영상을 한 번의 촬영으로 획득할 수 없으며, 관측 폭 단위로 넓은 지역을 겹치게 촬영 한 후에 획득한 영상들을 하나의 영상으로 만들어야 주어야 한다. 이때 필요한 알고리즘을 영상 모자이킹 또는 영상 스티칭이라고 하며, 지도 제작, 국토관리 분야 등에 사용된다. 모자이킹 알고리즘은 일반적으로 (1) 특징점 추출 및 매칭, (2) 복사 평형, (3) 경계선 추정, (4) 영상 블렌딩의 4단계로 이루어져 있다. 본 논문에서는 위성 영상에서 효과적으로 경계선 추정할 수 있는 방법에 대해 연구하였다. 그 결과 기존의 방법에 비하여 더 정확하게 경계선을 추정할 수 있었으며, 모자이킹이 된 영상도 경계선 부분의 이질감이 최소화 되었다.

High Efficient Entropy Coding For Edge Image Compression

  • Han, Jong-Woo;Kim, Do-Hyun;Kim, Yoon
    • 한국컴퓨터정보학회논문지
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    • 제21권5호
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    • pp.31-40
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    • 2016
  • In this paper, we analyse the characteristics of the edge image and propose a new entropy coding optimized to the compression of the edge image. The pixel values of the edge image have the Gaussian distribution around '0', and most of the pixel values are '0'. By using this analysis, the Zero Block technique is utilized in spatial domain. And the Intra Prediction Mode of the edge image is similar to the mode of the surrounding blocks or likely to be the Planar Mode or the Horizontal Mode. In this paper, we make use of the MPM technique that produces the Intra Prediction Mode with high probability modes. By utilizing the above properties, we design a new entropy coding method that is suitable for edge image and perform the compression. In case the existing compression techniques are applied to edge image, compression ratio is low and the algorithm is complicated as more than necessity and the running time is very long, because those techniques are based on the natural images. However, the compression ratio and the running time of the proposed technique is high and very short, respectively, because the proposed algorithm is optimized to the compression of the edge image. Experimental results indicate that the proposed algorithm provides better visual and PSNR performance up to 11 times than the JPEG.

전통 문양을 활용한 자카드 직물 패션 마스크 디자인 개발과 이미지 감성 평가 (Development and Image Sensibility Evaluation of Jacquard Fabric Fashion Masks with Traditional Patterns)

  • 김민수;김한나;전성기;이정순
    • 한국의류학회지
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    • 제45권5호
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    • pp.825-839
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    • 2021
  • This study aims to develop jacquard fashion masks using traditional patterns and investigates the preference and emotions of consumers for them. Nine patterns were designed with the motifs of plum flower, turtle, and geometric patterns using an Adobe Illustrator program. After that, 20 kinds of jacquard fabrics were developed using those patterns, and prototype masks were made. Furthermore, data were collected using a survey of 231 adult consumers to understand the emotional images evoked by jacquard fashion masks with traditional patterns. The results of the research show that the emotional dimension derived from jacquard fashion masks with traditional patterns consists of seven factors: luxurious image, frugal image, feminine image, oriental image, sporty image, geometrical image, generous image. We found that consumers preferred the M6 with the plum flower pattern as the motif as the most preferred design, while M13 with the geometric pattern as the motif was the lowest preferred.

객체 인식 정확도 개선을 위한 이미지 초해상도 기술 (Image Super-Resolution for Improving Object Recognition Accuracy)

  • 이성진;김태준;이충헌;유석봉
    • 한국정보통신학회논문지
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    • 제25권6호
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    • pp.774-784
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    • 2021
  • 객체 검출 및 인식 과정은 컴퓨터비전 분야에서 매우 중요한 과업으로써, 관련 연구가 활발하게 진행되고 있다. 그러나 실제 객체 인식 과정에서는 학습된 이미지 데이터와 테스트 이미지 데이터간 해상도 차이로 인하여 인식기의 정확도 성능이 저하되는 문제가 종종 발생한다. 이를 해결하기 위해 본 논문에서는 객체 인식 정확도 향상을 위한 이미지 초해상도 기법을 제안하여 객체 인식 및 초해상도 통합 프레임워크를 설계하고 개발하였다. 세부적으로는 11,231장의 차량 번호판 훈련용 이미지를 웹 크롤링, 인조데이터 생성 등을 통해 자체적으로 구축하고, 이를 활용하여 이미지 좌우 반전에 강인하도록 목적함수를 정의하여 이미지 초해상도 인공 신경망을 훈련시켰다. 제안 방법의 성능을 검증하기 위해 훈련된 이미지 초해상도 및 번호 인식기 1,999장의 테스트 이미지에 실험하였고, 이를 통해 제안한 초해상도 기법이 문자 인식 정확도 개선 효과가 있음을 확인하였다.

중국 내 한국 대중문화콘텐츠와 방한의도의 관계 (Study of the Relationship between Korean Popular Cultural Contents and Intention to visit Korea: The Case of Chinese)

  • 남장현;한염동;김영국
    • 아태비즈니스연구
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    • 제7권1호
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    • pp.71-82
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    • 2016
  • Korean popular cultural content, "Hallyu", is prevalent in China, and those have changed some life styles of the Chinese people, who are crazy with it. Korean popular cultural content is more than a cultural phenomenon, it has enhanced the national image of the country and the tourism department, especially those popular products which are closely related to our daily life. From this point of views, the current study is to identify the relationship between Korean popular cultural contents, Korean image, and visiting intention to Korea. The questionnaire takes a volunteering method, and analyzed the general characteristics through SPSS21.0. Factor analysis and reliability analysis are provided in order to test the reliability and validity. As the result of the study, Korean popular cultural contents can enhance economic and culture image of Korea, and those are the main factor for the potential customers from China to visit Korea. This study can provide information for maintaining popular cultural contents and gives an implication for enhancing the Korean tourism policy.

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Invader Detection System Using the Morphological Filtering and Difference Images Based on the Max-Valued Edge Detection Algorithm

  • Lee, Jae-Hyun;Kim, Sung-Shin;Kim, Jung-Min
    • Journal of Advanced Marine Engineering and Technology
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    • 제36권5호
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    • pp.645-661
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    • 2012
  • Recently, pirates are infesting on the sea and they have been hijacking the several vessels for example Samho Dream and Samho Jewelry of Korea. One of the items to reduce the risk is to adopt the invader detection system. If the pirates break in to the ship, the detection system can monitor the pirates and then call the security alarm. The crew can gain time to hide to the safe room and the report can be automatically sent to the control room to cope with the situation. For the invader detection, an unmanned observation system was proposed using the image detection algorithm that extracts the invader image from the recording image. To detect the motion area, the difference value was calculated between the current image and the prior image of the invader, and the 'AND' operator was used in calculated image and edge line. The image noise was reduced based on the morphology operation and then the image was transformed into morphological information. Finally, a neural network model was applied to recognize the invader. In the experimental results, it was confirmed that the proposed approach can improve the performance of the recognition in the invader monitoring system.

통계적 편차와 히스토그램 변형을 이용한 단일영상기반 고품질 영상 생성기법 (Single Image Based HDR Algorithm Using Statistical Differencing and Histogram Manipulation)

  • 송진선;한규필;박양우
    • 한국멀티미디어학회논문지
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    • 제21권7호
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    • pp.764-771
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    • 2018
  • In this paper, we propose a high-quality image acquisition algorithm using only a single image, which the high-quality image is normally referred as HDR ones. In order to acquire the HDR image, conventional methods need many images having different exposure values at the same scene and should delicately adjust the color values for a bit-expansion or an exposure fusion. Thus, they require considerable calculations and complex structures. Therefore, the proposed algorithm suggests a completely new approach using one image for the high-quality image acquisition by applying statistical difference and histogram manipulation, or histogram specification, techniques. The techniques could control the pixel's statistical distribution of the input image into the desired one through the local and the global modifications, respectively. As the result, the quality of the proposed algorithm is better than those of conventional methods implemented in commercial image editing softwares.

청소년의 주관적 체형인식 예측요인 - 국민건강영양조사 제5기(2011년) 자료의 체중조절 행위와 정신건강 상태 중심으로 - (The Causal Factors of Adolescents' Subjective Attitude towards Body Image - Focusing on the Study of Weight Control Behavior and Mental Health Status according to the 2011 Korea National Health and Nutrition Examination Survey Data -)

  • 최연희;성정혜;이선희;전영미
    • 한국학교ㆍ지역보건교육학회지
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    • 제15권3호
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    • pp.43-54
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    • 2014
  • Objectives: The purpose of this study was to find out the relation factors of weight control behaviors, mental health status and body image perception in adolescents and to use basis data of health promotion for adolescents. Methods: This study used data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-2, 2011). The subjects were 653 between 12-19 age. Data analysis was done with SPSS/WIN 19.0 using Chi-square test, and Logistic regression. Results: The result is as follows. The case of female adolescents, abnormal perception of body image was significantly higher on weight reduction effort and normal weight, low weight in BMI. The case of male adolescents, abnormal perception of body image was higher on normal weight in BMI. Conclusions: The adolescents tend to do unreasoning weight loss behavior without properly perception for their body image. Therefore, we suggest that adolescents be provided social support for positive body image and be developed perception program with the importance of inner values.

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국가이미지, 국가에 대한 태도, 구매감정이 한국적 이미지 패션상품 구매의도에 미치는 영향 - 한국 여성 소비자를 중심으로 - (The Effects of Country Image, Attitudes toward a Country, and Purchase Emotion on Purchase Intention of Fashion Products with a Korean Images - Focusing on Korean Female Consumers -)

  • 조윤진;이유리;김하연
    • 복식
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    • 제59권10호
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    • pp.111-123
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    • 2009
  • This study investigated the multifaced country image. The casual relationships among the multifaced country image, attitudes toward a country, and purchase emotion and purchase intention of fashion products with Korean images were also investigated. To conduct a quantitative analysis, we collected data from 296 Korean female consumers. SPSS 12.0 and AMOS 5.0 packages were used for statistical analysis. The results of this study as follows. To identify components of country image of Korea, exploratory and confirmatory factor analyses were conducted. This procedure produced five components such as culture, technique/product, ethical values, nationality, and space. Structural equational model was used to analyze the relationships among the country image, attitudes toward a country, purchase emotion, and purchase intention of fashion products with Korean image. The proposed model was verified.

Absolute Depth Estimation Based on a Sharpness-assessment Algorithm for a Camera with an Asymmetric Aperture

  • Kim, Beomjun;Heo, Daerak;Moon, Woonchan;Hahn, Joonku
    • Current Optics and Photonics
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    • 제5권5호
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    • pp.514-523
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    • 2021
  • Methods for absolute depth estimation have received lots of interest, and most algorithms are concerned about how to minimize the difference between an input defocused image and an estimated defocused image. These approaches may increase the complexity of the algorithms to calculate the defocused image from the estimation of the focused image. In this paper, we present a new method to recover depth of scene based on a sharpness-assessment algorithm. The proposed algorithm estimates the depth of scene by calculating the sharpness of deconvolved images with a specific point-spread function (PSF). While most depth estimation studies evaluate depth of the scene only behind a focal plane, the proposed method evaluates a broad depth range both nearer and farther than the focal plane. This is accomplished using an asymmetric aperture, so the PSF at a position nearer than the focal plane is different from that at a position farther than the focal plane. From the image taken with a focal plane of 160 cm, the depth of object over the broad range from 60 to 350 cm is estimated at 10 cm resolution. With an asymmetric aperture, we demonstrate the feasibility of the sharpness-assessment algorithm to recover absolute depth of scene from a single defocused image.