• Title/Summary/Keyword: 사진적 이미지

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CMOS 이미지 센서의 CDS

  • 백남대
    • The Optical Journal
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    • s.90
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    • pp.60-65
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    • 2004
  • 현대의 정보통신 사회에 있어서 카메라는 여러 분야에 사용이 되고 있다. 카메라는 아날로그사진에서 피사체를 기록하기위한 필름을 사용하는데 이미지 센서는 빛을 변환하는 역할을 하는 필름대용품으로 사용되는 것이다. 이 이미지 센서는 전하결합소자(CCD : Charge Coupled Device)와 상보금속 산화물반도체(CMOS : Complementary Metal-Oxide-Semiconductor)가 대표적이다. 특히 디지털 카메라를 이용하여 과거의 카메

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A Study on Global Background Scene Mosaicking Method from Video (비디오 영상으로부터 배경 합성의 모자이크 방법 연구)

  • Lee, Jae-Cheol;Choi, Yu-Rak;Jun, Hyeong-Seop
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.11a
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    • pp.109-112
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    • 2006
  • 이미지 모자이크 기법은 한 번에 촬영 할 수 없는 큰 배경이나 사물을 부분적으로 촬영 한 후 이들을 조합하여 전체 배경이나 사물을 합성하는 기술이다. 이 기술은 주로 지형을 촬영한 항공사진을 조합하여 전체 영상을 얻는 용도로 사용되어왔다. 본 연구에서는 일반적인 스틸사진의 조합이 아닌 동영상으로 촬영된 영상물로부터 전체 배경을 합성하는 방법에 대한 것이다. 이를 위하여 먼저 비디오 프레임간의 공통적인 특징 점들을 추출하고 일치되는 점들을 찾아내었다. 이로부터 두 프레임간의 상대적인 좌표를 구한 후 이를 저장하였다. 마지막으로 합성 단계에서는 저장된 상대 좌표로부터 부분 이미지를 연결하여 전체 이미지를 구하는 방법을 제안하였다. 제안된 방법은 근접 촬영이 필수인 협소공간의 고대 구조물의 육안 검사를 소형로봇 등의 원격 이동체에 실린 카메라로 수행하기 위한 용도에 응용될 수 있다.

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Optimum Parameter Ranges on Highly Preferred Images: Focus on Dynamic Range, Color, and Contrast (선호도 높은 이미지의 최적 파라미터 범위 연구: 다이내믹 레인지, 컬러, 콘트라스트를 중심으로)

  • Park, Hyung-Ju;Har, Dong-Hwan
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.9-18
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    • 2013
  • In order to measure the parameters of consumers' preferred image quality, this research suggests image quality assessment factors; dynamic range, color, and contrast. They have both physical image quality factors and psychological characteristics from the previous researches. We found out the specific ranges of preferred image quality metrics. As a result, Digital Zone System meant for dynamic range generally shows 6~10 stop ranges in portrait, nightscape, and landscape. Total RGB mean values represent in portrait (67.2~215.2), nightscape (46~142), and landscape (52~185). Portrait total RGB averages have the widest range, landscape, and nightscape, respectively. Total scene contrast ranges show in portrait (196~589), nightscape (131~575), and landscape (104~767). Especially in portrait, skin tone RGB mean values are in ZONE V as the exposure standard, but practically image consumers' preferred skin tone level is in ZONE IV. Also, total scene versus main subject contrast ratio represents 1:1.2; therefore, we conclude that image consumers prefer the out-of-focus effect in portrait. Throughout this research, we can measure the preferred image quality metrics ranges. Also, we expect the practical and specific dynamic range, color, and contrast information of preferred image quality to positively influence product development.

연재 - 페인터로 구현하는 디지털 아트 (4)

  • Kim, Se-Hyeon
    • 프린팅코리아
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    • v.8 no.5
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    • pp.112-113
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    • 2009
  • 페인터11 버전이 최근 출시되었다. 페인터는 수채화, 유화 등 예술적인 이미지를 구현해주는 프로그램으로 포토�頻릿� 예술적이고 동화적인 이미지를 구현할 수 있어 디자인 및 사진 시장에서 새로운 조류로 각광받고 있다. 페인터11이 만들어 내는 디지털 아트는 전통 방식에 비해 새로운 작업 방식을 제공하고 있다. 독특한 브러시나 작업도구를 만들어 낼 뿐만 아니라 이것을 캔버스와 상호 작용시킬 수 있다. 이번 호에서는 페인터11의 기능에 대해 알아본다.

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Study on Development of Automated Program Model for Measuring Sensibility Preference of Portrait (인물사진의 감성 선호도 측정 자동화 프로그램 모형 개발 연구)

  • Lee, Chang-Seop;Jung, Da-Yeon;Lee, Eun-Ju;Har, Dong-Hwan
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.34-43
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    • 2018
  • The purpose of this study is to develop measurement program model for a human being-oriented product through the between the evaluation factors of portrait and general preferences of portraits. We added new items that are essential to the image evaluation by analysing previous studies. In this study, We identified the facial focus for the first step, and the portraits were evaluated by dividing it into objective and subjective image quality evaluation items. RSC Contrast and Dynamic Range were selected as the Objective evaluation items, and the numerical values of each image could be evaluation items, and the numerical values of each image could be evaluated by statistical analysis method. Facial Exposure, Composition, Position, Ratio, Out of focus, and Emotions and Color tone of image were selected as the Subjective evaluation items. In addition, a new face recognition algorithm is applied to judge the emotions, the manufacturer can get the information that they can analyze the people's emotion. The program developed to quantitatively and qualitatively compiles the evaluation items when evaluating portraits. The program that I developed through this study can be used an analysis program that produce the data for developing the evaluation model of the product more suitable to general users of imaging systems.

Analysis of Chinese Game Cosplay Photography - Focused on 'Qiwei Zoe' - (중국 게임 코스프레(cosplay) 사진 연구 - '칠미조(七味zoe)'를 중심으로-)

  • Jin, Tao;Lee, Sang Eun;Yang, Jong Hoon
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.470-478
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    • 2017
  • Costume play is an act of imitating the appearance or behavior of characters in digital games, cartoons or animations. In recent years, cosplay culture has become popular in China as the digital game is made into a movie. The number of cosers has also increased. Especially, Qiwei Zoe has been very popular among cosers because her cosplay photography reflects the understanding of the cosplay culture. A number of cosers admit that her work shows a commercial and artistic potential of cosplay photography. This paper analyzed how she maintains the contents of the original but creatively reimplementing them. She shoots the fantastic image of the character like it really exists in reality so that she can avoid excessive editing work. She emphasizes the character's action that symbolizes its personality and utilizes a variety of outdoor shooting locations similar to the original scenes. We also discussed how cosplay photographers can create cosplay photography by maintaining its artistic features.

Image Watermarking for Identification Forgery Prevention (신분증 위변조 방지를 위한 이미지 워터마킹)

  • Nah, Ji-Hah;Kim, Jong-Weon;Kim, Jae-Seok
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.552-559
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    • 2011
  • In this paper, a new image watermarking algorithm is proposed which can hide specific information of an ID card's owner in photo image for preventing ID's photo forgery. Proposed algorithm uses the image segmentation and the correlation peak position modulation of spread spectrum. The watermark embedded in photo ensures not only robustness against printing and scanning but also sufficient information capacity hiding unique number such as social security numbers in small-sized photo. Another advantage of proposed method is extracting accurate information with error tolerance within some rotation range by using $2^h{\times}2^w$ unit sample space not instead $1{\times}1$ pixels for insertion and extraction of information. 40 bits information can be embedded and extracted at $256{\times}256$ sized ID photo with BER value of 0 % when the test condition is 300dpi scanner and photo printer with 22 photos. In conclusion, proposed algorithm shows the robustness for noise and rotational errors occured during printing and scanning.

Image Watermarking for Copyright Protection of Images on Shopping Mall (쇼핑몰 이미지 저작권보호를 위한 영상 워터마킹)

  • Bae, Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.147-157
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    • 2013
  • With the advent of the digital environment that can be accessed anytime, anywhere with the introduction of high-speed network, the free distribution and use of digital content were made possible. Ironically this environment is raising a variety of copyright infringement, and product images used in the online shopping mall are pirated frequently. There are many controversial issues whether shopping mall images are creative works or not. According to Supreme Court's decision in 2001, to ad pictures taken with ham products is simply a clone of the appearance of objects to deliver nothing but the decision was not only creative expression. But for the photographer's losses recognized in the advertising photo shoot takes the typical cost was estimated damages. According to Seoul District Court precedents in 2003, if there are the photographer's personality and creativity in the selection of the subject, the composition of the set, the direction and amount of light control, set the angle of the camera, shutter speed, shutter chance, other shooting methods for capturing, developing and printing process, the works should be protected by copyright law by the Court's sentence. In order to receive copyright protection of the shopping mall images by the law, it is simply not to convey the status of the product, the photographer's personality and creativity can be recognized that it requires effort. Accordingly, the cost of making the mall image increases, and the necessity for copyright protection becomes higher. The product images of the online shopping mall have a very unique configuration unlike the general pictures such as portraits and landscape photos and, therefore, the general image watermarking technique can not satisfy the requirements of the image watermarking. Because background of product images commonly used in shopping malls is white or black, or gray scale (gradient) color, it is difficult to utilize the space to embed a watermark and the area is very sensitive even a slight change. In this paper, the characteristics of images used in shopping malls are analyzed and a watermarking technology which is suitable to the shopping mall images is proposed. The proposed image watermarking technology divide a product image into smaller blocks, and the corresponding blocks are transformed by DCT (Discrete Cosine Transform), and then the watermark information was inserted into images using quantization of DCT coefficients. Because uniform treatment of the DCT coefficients for quantization cause visual blocking artifacts, the proposed algorithm used weighted mask which quantizes finely the coefficients located block boundaries and coarsely the coefficients located center area of the block. This mask improves subjective visual quality as well as the objective quality of the images. In addition, in order to improve the safety of the algorithm, the blocks which is embedded the watermark are randomly selected and the turbo code is used to reduce the BER when extracting the watermark. The PSNR(Peak Signal to Noise Ratio) of the shopping mall image watermarked by the proposed algorithm is 40.7~48.5[dB] and BER(Bit Error Rate) after JPEG with QF = 70 is 0. This means the watermarked image is high quality and the algorithm is robust to JPEG compression that is used generally at the online shopping malls. Also, for 40% change in size and 40 degrees of rotation, the BER is 0. In general, the shopping malls are used compressed images with QF which is higher than 90. Because the pirated image is used to replicate from original image, the proposed algorithm can identify the copyright infringement in the most cases. As shown the experimental results, the proposed algorithm is suitable to the shopping mall images with simple background. However, the future study should be carried out to enhance the robustness of the proposed algorithm because the robustness loss is occurred after mask process.

An Implementation of Animal Face Recognition Model based on Convolutional Neural Network (CNN 기반 동물상 인식 모델 구현)

  • Park, Yong Bin;Ihm, Sun-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.645-647
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    • 2022
  • 최근 딥러닝 기반의 이미지 분류는 다양한 산업과 서비스에서 활용되고 있으며, 이미지 인식을 통한 다양한 테스트가 SNS를 통해 인기를 끌고 있다. CNN은 대표적인 이미지 분류를 위한 신경망 모델로 본 연구에서는 사진속의 얼굴에 대해 동물상 인식을 위하여 동물 얼굴 이미지 및 각 동물상을 대표하는 연예인의 이미지를 수집하고, CNN 기반의 동물상 인식 모델을 구현하였다.

A Study on 3D Surface Reconstruction for the Breast of Human Body (인체 가슴 부위의 구조물의 3D 표면 모형 재구성)

  • Lee, Sang-Tae;Jeon, Hyun-Jin;Kim, Ki-Tai;Choi, Ki-Seok;Joo, Won-Kyun
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.11a
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    • pp.99-102
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    • 2009
  • 본 연구에서는 실제 기증받은 시체를 이용하여 인체의 각 구조물을 실제 모습 그대로 3D 이미지화하는 과정에 대해 알아보았다. 인체의 구조물을 3D 로 이미지화하는 과정은 다음과 같다. 먼저 시체를 0.2mm 간격으로 절단하여 절단면의 사진을 찍은 후, 각 절단면의 사진에서 각각의 구조물을 구역화하여 색칠을 한 후, 구역화한 이미지에서 외곽선을 추출하여 벡터 이미지를 만든다. 이 외곽선을 1mm 간격으로 쌓아 올린 후 그 표면을 재구성하여 3D 이미지로 변환하는 과정으로 진행되었다. 3D 이미지의 제작은 가슴 부위에 한정하여 이루어졌다. 인체의 해부학적인 모형을 3D 이미지로 시각화함으로써 얻는 효과는 일반인을 대상으로 인체의 내부에 대한 시각적인 호기심을 충족시켜주고 의학 상식을 넓히는데 도움을 줄 수 있을 것 이다. 또한 의대생들을 비롯한 의학 전문가들에게는 생생한 해부학 강의용으로도 활용 가능하다. 향후 Haptic 시스템을 이용한 의료 실습 어플리케이션과 접목될 수도 있을것이고, fMRI 데이터를 비롯한 타 데이터와의 융합을 통해 시각화하여 서비스 할 수도 있다. 이처럼 인체의 3D 모형은 의료분야에서 광범위하게 활용될 수 있는 데이터로써 그 가치를 지닐 것이다.

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