• Title/Summary/Keyword: image space

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Adaptive Saturation Enhancement Algorithm on Normalized YCbCr color space (Normalized YCbCr 색 공간에서의 적응적 채도 향상 방법)

  • 옥현욱;최원희;김창용
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.385-388
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    • 2003
  • In this paper, we propose a new saturation enhancement algorithm which is processed on the new color space, called Normalized YCbCr(NYCbCr). The algorithm consists of two processing unit. One is color space conversion from YCbCr to NYCbCr, and the other is using adaptive saturation mapping function(ASMF). NYCbCr color space is designed to prevent shortcomings such as luminance and hue shift of YCbCr color space and by saturation enhancement. ASMF is effective to enhance saturation properly for each image and to protect low saturation regions of color images from over-saturation. we verified our method using several color images. Experimental results show that the proposed method enhance the saturation with minimizing Luminance and Hue shift.

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High Resolution Space Images for Hazardous Waste Area Monitoring with Application of Remote Sensing and GIS

  • Salahova, Saida
    • International Journal of Aeronautical and Space Sciences
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    • v.9 no.1
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    • pp.42-47
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    • 2008
  • One of the main cases of the desertification impact is the negative contribution of human activities that worsen environment. There are historical facts of inability and excessive activities which destroyed the civilizations. The basic difference is only in the tempo and scales of civilization collapse. Human pressure was accumulated within the centuries and millennia due to the extremely active economic activities. But today it covers only the decades. Presently the process of desertification has a global scale. There are huge factors of Earth aridization as an increase of the quantity of C02 and atmospheric dust and bloom. This process related not only to the arid areas. Obviously a comprehensive approach of development of territories, particularly arid areas is very important. The use of the satellite information and technologies of remote sensing data processing can take a significant place for decision-makers for calculation and estimation of the environment impacts.

Color gamut mapping using fictive 3-D CIELAB equidistance sample (가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상)

  • 오현수;곽한봉;이철희;서봉우;안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.19 no.2
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    • pp.58-67
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    • 2001
  • Gamut mapping is a technique that acts on cross-media color reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device- independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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A Study on The Analogy Analysis Of The Space (공간에 나타난 유추적 표현에 관한 연구)

  • 이진민;이지현
    • Korean Institute of Interior Design Journal
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    • no.39
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    • pp.28-36
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    • 2003
  • The yardstick of value has transformed into personal and sensitive one after it went through an Industrial society. The space in the society of sensitivity is defined by a semiotic character rather than as a physical object aimed at satisfying basic desire. Through this character, space makes a meaning and comes to exist an exchanging productive place. Environmental transformation is demanding further ample sensitive expression. In connection with the above, this thesis aims to identify the characteristics of sensitive and human-centered approach and systematize the analogy analysis which is applied to the interior space, classified by elements by introducing the concept of analogic inference in the field of rhetoric and through a diverse genres. As an approach, this thesis is entitled the analogic inference of the field of rhetoric to various art genres, and as a analogic interpretation genre, this thesis Is subdivided it into the fields of literature, image, fashion, flower art, and visual design, and study the analysis of analogic inference as a means of materializing storied space through the connection literature with design.

GENERATION OF FUTURE MAGNETOGRAMS FROM PREVIOUS SDO/HMI DATA USING DEEP LEARNING

  • Jeon, Seonggyeong;Moon, Yong-Jae;Park, Eunsu;Shin, Kyungin;Kim, Taeyoung
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.82.3-82.3
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    • 2019
  • In this study, we generate future full disk magnetograms in 12, 24, 36 and 48 hours advance from SDO/HMI images using deep learning. To perform this generation, we apply the convolutional generative adversarial network (cGAN) algorithm to a series of SDO/HMI magnetograms. We use SDO/HMI data from 2011 to 2016 for training four models. The models make AI-generated images for 2017 HMI data and compare them with the actual HMI magnetograms for evaluation. The AI-generated images by each model are very similar to the actual images. The average correlation coefficient between the two images for about 600 data sets are about 0.85 for four models. We are examining hundreds of active regions for more detail comparison. In the future we will use pix2pix HD and video2video translation networks for image prediction.

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Color Pattern Recognition and Tracking for Multi-Object Tracking in Artificial Intelligence Space (인공지능 공간상의 다중객체 구분을 위한 컬러 패턴 인식과 추적)

  • Tae-Seok Jin
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_2
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    • pp.319-324
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    • 2024
  • In this paper, the Artificial Intelligence Space(AI-Space) for human-robot interface is presented, which can enable human-computer interfacing, networked camera conferencing, industrial monitoring, service and training applications. We present a method for representing, tracking, and objects(human, robot, chair) following by fusing distributed multiple vision systems in AI-Space. The article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguous conditions. We propose to track the moving objects(human, robot, chair) by generating hypotheses not in the image plane but on the top-view reconstruction of the scene.

A Study on the Strategies of the Positioning of a Satellite on Observed Images by the Astronomical Telescope and the Observation and Initial Orbit Determination of Unidentified Space Objects

  • Choi, Jin;Jo, Jung-Hyun;Choi, Young-Jun;Cho, Gi-In;Kim, Jae-Hyuk;Bae, Young-Ho;Yim, Hong-Suh;Moon, Hong-Kyu;Park, Jang-Hyun
    • Journal of Astronomy and Space Sciences
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    • v.28 no.4
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    • pp.333-344
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    • 2011
  • An optical tracking system has advantages for observing geostationary earth orbit (GEO) satellites relatively over other types of observation system. Regular surveying for unidentified space objects with the optical tracking system can be an early warning tool for the safety of five Korean active GEO satellites. Two strategies of positioning on the observed image of Communication, Ocean and Meteorological Satellite 1 are tested and compared. Photometric method has a half root mean square error against streak method. Also eccentricity method for initial orbit determination (IOD) is tested with simulation data and real observation data. Under 10 minutes observation time interval, eccentricity method shows relatively better IOD results than the other time interval. For follow-up observation of unidentified space objects, at least two consecutive observations are needed in 5 minutes to determine orbit for geosynchronous orbit space objects.

KMTNet Supernova Project : Pipeline and Alerting System Development

  • Lee, Jae-Joon;Moon, Dae-Sik;Kim, Sang Chul;Pak, Mina
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.1
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    • pp.56.2-56.2
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    • 2015
  • The KMTNet Supernovae Project utilizes the large $2^{\circ}{\times}2^{\circ}$ field of view of the three KMTNet telescopes to search and monitor supernovae, especially early ones, and other optical transients. A key component of the project is to build a data pipeline with a descent latency and an early alerting system that can handle the large volume of the data in an efficient and a prompt way, while minimizing false alarms, which casts a significant challenge to the software development. Here we present the current status of their development. The pipeline utilizes a difference image analysis technique to discover candidate transient sources after making correction of image distortion. In the early phase of the program, final selection of transient sources from candidates will mainly rely on multi-filter, multi-epoch and multi-site screening as well as human inspection, and an interactive web-based system is being developed for this purpose. Eventually, machine learning algorithms, based on the training set collected in the early phase, will be used to select true transient sources from candidates.

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A Study on the commercial strategies through armature analysis in shopping center - Reference with shopping centers the Jerde Partnership planned - (쇼핑센터에서 Armature 분석을 통한 상업적 전략에 관한 연구 - 저드파트너십의 쇼핑센터를 중심으로 -)

  • Kim, Hyeong-Jung
    • Korean Institute of Interior Design Journal
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    • v.21 no.1
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    • pp.186-194
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    • 2012
  • One hand shopping center provides a public space for people, the other hand it is a place for commercial purpose. Although it gives an entertainment, eating and shopping places to people nowaday, owners and tenants aim to make profit from it. According to this demand designers should plan a shopping center for a comfortable place for eating, shopping and playing and they make shops and retails to increase sales by exposing those to more people at the same time. For successful shopping center architects are requested an approach with commercial strategy that shopping center raises exposure of retails and makes stay costumers longer and visit more frequently. Recently space is regarded as a mean of marketing, so-called "place marketing", because it can influence on brand image and improves the image of product. Therefore, it need to be approached with commercial consideration. Analyzing the armature this study will take a look at spatial strategies in shopping centers which especially the Jerde Partnership, one of influential firms on commercial space, designed. And it will examine how spatial strategies can be applied to commercial strategies in relation to customer information process(exposure-attention-interest-comprehension-memory) which marketers are using in advertisement for marketing and what kind of role spatial strategies can be. This study is to be basic considerations when a shopping center project will be planned.

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High-Speed Virtual Endoscopy using Improved Space-Leaping (개선된 공간 도약법을 이용한 고속 가상 내시경 기법)

  • Shin, Byeong-Seok;Jin, Ge
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.8
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    • pp.463-471
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    • 2002
  • In order to implement virtual endoscopy, high-speed rendering algorithm that generates accurate perspective projection images and efficient collision detection method are essential. In this paper we propose an efficient virtual endoscopy system based on volume rendering technique. It is possible to skip over empty (transparent) space using the distance value produced in preprocessing time, and it does not deteriorate image quality since it is an extension of ray-casting. It also accelerates rendering speed with minimal loss of image quality by adjusting sampling interval along a ray according to direction of the ray. Using the distance information, we can simplify the collision detection of volumetric objects.