• Title/Summary/Keyword: color images

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Gamut Mapping Based on Color Space Division for Enhancement of Lightness Contrast and Chrominance (휘도 대비와 채도 향상을 위한 색 공간 분할 색역 사상)

  • Cho, Yang-Ho;Kim, Yun-Tae;Lee, Cheol-Hee;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.5
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    • pp.513-521
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    • 2002
  • This paper proposes a gamut mapping algorithm based on color space division for cross media color reproduction. As each color device has a limited range of producible colors, reproduced colors on a destination device are different from those of the original device. In order to reduce the color difference, the proposed method divides the whole gamut into parabolic shapes based on intersecting lightness by the just noticeable difference (JND) and the original device gamut boundary. Dividing the gamut with parabolic shapes and piecewise mapping of each region not only considers gamut characteristics but also provides for mapping uniformity. Also the lightness variations are more sensitive to the human visual system and by using lightness JND it can restrict lightness mapping variations that are unperceivable to enhance lightness contrast and chrominance. As a result, the proposed algorithm is able to reproduce high quality images using low-cost color devices.

Development of Traffic Light Automatic Discrimination System Using Digital Image Processing Technology (디지털영상처리 기술을 이용한 교통신호등 자동 판별 시스템 개발)

  • Kim, Sun-Dong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.2
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    • pp.92-99
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    • 2009
  • This paper established the range of the wavelength of traffic lights to detection the color of traffic lights and the color component segmentation with the range of the wavelength. Development of traffic light automatic discrimination system is consists of the color detection and the traffic lights recognition. In this thesis, it established the range of the wavelength of traffic lights to detection the color of traffic lights and the color segmentation with the range of the wavelength. By the segmentation, the traffic light colors(red, orange and green) can be detected and the background is changed into gray image. Next, we proposed the algorithm which can detect the area of traffic lights in the various surroundings with the wavelet transformation algorithm. Also, we proposed traffic lights recognition algorithm using between the edge operator and the Hausdorff distance algorithm based on CBIR(Content-based Image retrieval). Therefore, the proposed algorithm is more superior to the conventional algorithm by experimenting with the illumination including the traffic lights and the backgrounds with various images.

JND based Illumination and Color Restoration Using Edge-preserving Filter (JND와 경계 보호 평탄화 필터를 이용한 휘도 및 색상 복원)

  • Han, Hee-Chul;Sohn, Kwan-Hoon
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.6
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    • pp.132-145
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    • 2009
  • We present the framework for JND based Illumination and Color Restoration Using Edge-preserving filter for restoring distorted images taken under the arbitrary lighting conditions. The proposed method is effective for appropriate illumination compensation, vivid color restoration, artifacts suppression, automatic parameter estimation, and low computation cost for HW implementation. We show the efficiency of the mean shift filter and sigma filter for illumination compensation with small spread parameter while considering the processing time and removing the artifacts such as HALO and noise amplification. The suggested CRF (color restoration filter) can restore the natural color and correct color distortion artifact more perceptually compared with current solutions. For the automatic processing, the image statistics analysis finds suitable parameter using JND and all constants are pre-defined. We also introduce the ROI-based parameter estimation dealing with small shadow area against spacious well-exposed background in an image for the touch-screen camera. The object evaluation is performed by CMC, CIEde2000, PSNR, SSIM, and 3D CIELAB gamut with state-of-the-art research and existing commercial solutions.

The extraction and application of the color chip represented in the work of Picasso according to his muses (피카소의 작품에 나타난 뮤즈별 컬러 칩 도출과 적용)

  • Lee, Keum Hee
    • The Research Journal of the Costume Culture
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    • v.23 no.2
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    • pp.193-212
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    • 2015
  • The purpose of this study is to analyze the characters and images of Picasso's muses, to extract the color chip from the works of Picasso, and to apply these results to fashion design. The study includes a literature review, an analysis of visual materials. The results are as follows. Fernande, who was cheerful and voluptuous, was depicted with pink-brown, a few browns, grey, black, white, and green and represents an ethnic and elegant image. Eva, a star-crossed lover, was depicted with a few browns, black, and pale-yellow and represents a gorgeous and natural image. Olga, who was jealous and sickly wife, was depicted with a few blues, browns and neutral-color and represents a classic and dandy image. Th${\acute{e}}$r${\grave{e}}$se, who was innocent and sweet, was depicted with the bright and pastel colors of red, green, violet, and yellow and of white, blue, brown, and black and represents a romantic, pretty, and casual image. Dora, who was intellectually and emotionally- challenging, was depicted with the strong colors of red, yellow, green, and blue, which are in contrast to black and also to white, grey and brown and represents a wild and dynamic image. Gilot, who was strong-willed and prideful, was depicted with the symbolic color of green, a color contrasting with black and white, grey, and pale brown and represents a clear, cool casual and modern image. Jacqueline, the self-giving and reclusive wife, was depicted with deep red, blue, green, black, white, dark brown, grey represents a formal, dandy, and chic image.

A Study of the Color Characteristics of the Websites of Sportswear Brands' (스포츠웨어 브랜드의 웹사이트 색채 특성 분석)

  • Moon, Ji-Young;Kim, Ji-Yeon;Cho, Ju-Yeon;Lee, Kyu-Hye
    • The Research Journal of the Costume Culture
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    • v.19 no.4
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    • pp.794-804
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    • 2011
  • With increases in the amount of spare time by many and with increased social interest in health, the sportswear market is steadily growing. Thus, sportswear companies are putting more effort into developing their websites for differentiation strategies. It is possible to deliver effective images with the use of proper colors in websites. This study aimed to analyze the colors of websites of sportswear brands' and to compare their characteristics. Thirty-seven brands were chosen and classified into three groups: active sportswear, outdoor wear and golf wear. 168 color samples in total as main colors, sub-colors and accent colors were collected from the first screen of each websites. The colors were analyzed by Musell's 10 hues and by the 12 tone classifications of PCCS. The results indicated that white is the color most often used as the main color and sub-color on these websites. There were differences among the colors of the three groups. Both active sportswear and outdoor wear have a similar tendency in terms of their use of colors and tones, while golf wear is different from these two groups. Active sportswear websites and outdoor wear websites frequently used red and vivid, bright tones for their accent colors. In comparison, Green Yellow and light grayish tones were most commonly used as accent colors in golf wear websites.

A Performance Improvement of Automatic Butterfly Identification Method Using Color Intensity Entropy (영상의 색체 강도 엔트로피를 이용한 나비 종 자동 인식 향상 방법)

  • Kang, Seung-Ho;Kim, Tae-Hee
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.624-632
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    • 2017
  • Automatic butterfly identification using images is one of the interesting research fields because it helps the related researchers studying species diversity and evolutionary and development process a lot in this field. The performance of the butterfly species identification system is dependent heavily on the quality of selected features. In this paper, we propose color intensity (CI) entropy by using the distribution of color intensities in a butterfly image. We show color intensity entropy can increase the recognition rate by 10% if it is used together with previously suggested branch length similarity entropy. In addition, the performance comparison with other features such as Eigenface, 2D Fourier transform, and 2D wavelet transform is conducted against several well known machine learning methods.

Changes in Physiological and Psychological Conditions of Humans to Color Stimuli of Plants

  • Jang, Hye Sook;Gim, Gyung Mee;Jeong, Sun Jin;Kim, Jae Soon
    • Journal of People, Plants, and Environment
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    • v.22 no.2
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    • pp.127-143
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    • 2019
  • This study investigates the color stimuli of two varieties of foliage plants by extracting electroencephalogram, electrocardiogram and physiology activity data from 30 participants in their 50s or older. Changes in the physiological activity of subjects against six color stimuli were examined. The stimulus to real green plants 'Silver Queen' was set as the control group, and was compared with other groups including the stimulus to real 'Angel' plants and four stimuli to artificial colors (two color images and color schemes of the same green and red plants). Compared to the five groups, the relative theta power spectrum (RT) and the ratio of alpha to high beta (RAHB) increased in the subjects exposed to real green plants. This result demonstrates that the green plant ('Silver Queen') increases the stability, relaxation, and internal concentration of subjects in a proper state of awakening. The result of this experiment showed a statistically significant difference in the level of RT when subjects were exposed to the groups of real green and red plants. This finding indicates that the green plant increases internal concentration more than the red plant. RT and the relative low beta power spectrum (RLB) in the groups of natural colors were higher than the groups of artificial colors when subjects focused their mind on the two types of real plants. However, the level of relative mid beta power spectrum (RMB), ratio of SMR to theta (RST), ratio of mid beta to theta (RMT), relative high beta power spectrum (RHB), and spectral edge frequency 95% were higher when subjects were exposed to the photos and colors scheme of plants than when they were exposed to real plants. The subjects experienced more "comfortable" emotions when they were looking at plants with green colors. Overall, it is recommended to use the natural colors of real plants in places where which stability and relaxation are required. On the contrary, the artificial colors of plants such as their photos and color schemes are useful in places where a high level of concentration is required in a short period of time.

Person Identification based on Clothing Feature (의상 특징 기반의 동일인 식별)

  • Choi, Yoo-Joo;Park, Sun-Mi;Cho, We-Duke;Kim, Ku-Jin
    • Journal of the Korea Computer Graphics Society
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    • v.16 no.1
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    • pp.1-7
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    • 2010
  • With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

Research on the Actual Condition of Hair Coloring - Focusing on the Women in Changwon City - (모발(毛髮) 염색(染色)에 관(關)한 실태(實態) 조사(調査) - 창원시(昌原市) 여성(女性)을 중심(中心)으로 -)

  • Choi, Soo-Jung;Park, Hye-Won;Cho, Oh-Soon
    • Journal of Fashion Business
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    • v.7 no.1
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    • pp.116-134
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    • 2003
  • The beauty industry of today tends to gradually develope as one of the important marketing strategies along with the total fashion sector. Hair color, being one of the factors of hair style, especially builds his or her own image and even becomes the nonverbal communication method which let others know him/herself. Therefore, women's needs and expectations of hair coloring are varied. To meet these need, it is urgent to figure out, most of all, the status of customers' awareness about hair coloring. Thus, in this study, research and analysis on hair coloring were made, focusing on the women utilizing 20 beauty shops in Changwon city. And the goal that this study set is to use as the study material for the hair coloring consulting in the beauty industry and the basic data for marketing in the industry job-sites. The conclusion by the three factors(age, job, monthly income) were as follows: 1. Dandyism was on the 1st order in the reason for coloring hair regardless of age, job, and monthly income. This seems to be speaking for the change of women's awareness of coloring hair. 2. The subject of making decision upon whether she was going to color her hair or not was herself regardless of age, job, and monthly income. Among the people belong to these three factors, brown was the color in overall preference. 3. More than half of those who belong to the three factors were not aware of the hair color, but their senses and interest in the color in vogue were high. 4. In terms of the hair coloring periodic time, many people had $2{\sim}3$months, but it was possible to know that they were interested in improving their images, considering the fact that most of the salaried people had their hair dyed within a month and the people in service job over a month. 5. The acquaintance around me had the strongest effect in collecting information from the people in those three factors and mass media was the next. The results of this study, in my opinion, would help the customers have beautiful and healthy hair and make images of their own by making the hair designers develope professional knowledges and skills on the hair coloring and improve the quality of beauty services.

A Study to Improve the Accuracy of Segmentation and Classification of Mosaic Images over the Korean Peninsula (한반도 모자이크 영상의 분할 및 분류 정확도 향상을 위한 연구)

  • Moon, Jiyoon;Lee, Kwang Jae
    • Korean Journal of Remote Sensing
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    • v.37 no.6_3
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    • pp.1943-1949
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    • 2021
  • In recent years, as the demand of high-resolution satellite images increases due to the miniaturization and constellation of satellites, various efforts to support users to utilize satellite images more conveniently are performed. Accordingly, the Korea Aerospace Research Institute produces and provides mosaic images on the Korean Peninsula every year to improve the convenience of users in the public sector and activate the use of satellite images. In order to increase the utilization of mosaic images on the Korean Peninsula, a study on satellite image segmentation and classification using mosaic images was attempted. However, since mosaic images provide only R, G, and B bands and processes such as image sharpening and color balancing are applied, there is a limitation that the spectral information of original images is distorted, so various indices were extracted and classified using R, G, and B bands to compensate for this. As a result of the study, the accuracy of image classification results using only mosaic images was about 72%, while the accuracy of image classification results using indices extracted from R, G, and B bands together was about 79%. Through this, it was confirmed that when performing image classification using mosaic images on the Korean Peninsula, the image classification results can be improved if the indices extracted from R, G, and B bands are used together. These research results are expected to be applied not only to mosaic images but also to images in which spectral information is limited or only R, G, and B bands are provided.