• Title/Summary/Keyword: color images

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Novel Auto White Balance Algorithm Using Adaptive Color Sampling Based on $CIEL^*a^*b^*$ color space for Mobile Phone Camera ($CIEL^*a^*b^*$ 색 공간에서 적응적 컬러 샘플링을 이용한 Mobile Phone 카메라용 자동화이트 밸런스 알고리즘)

  • Kim, Kyung-Rin;Son, Kyoung-Soo;Ha, Joo-Young;Kim, Sang-Choon;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1356-1362
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    • 2008
  • In this paper. we propose a novel auto white balance algorithm which is one of the representative functions on cameras. White balance is the process of removing unrealistic color casts, which will make the captured white objects appear white. For white balance, we employ $CIEL^*a^*b^*$ color space which is the most complete color model available and is conventionally used to describe all the colors visible to the human eye and estimate the color difference on white objects with distribution of the image which is called the reference white estimation. For accuracy, we form groups or sets of pixels that are altered by the light sources and other elements. Moreover, Standard group is decided by judgment of specific-case images with the information of groups. Then, the reference white estimation is performed by the color sampling which is to choose all the accumulated pixels contained within the standard group. The color gain for image compensation by considering the color saturation is also computed. the proposed algorithm provides a significant performance.

A Study on the Orphism Expression Effect in Contemporary Fashion (현대 패션에 표현된 오르피즘 특성)

  • Jin Kwon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.3
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    • pp.97-111
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    • 2023
  • Dynamic orphism images expressed with abstraction and construction in color are often found in modern fashion. Orphism stressing color is one of the many art trends that influence fashion. This work aims to examin its expressive effects and characteristics that appear in fashion and provide basic materials for fashion design study. This study proceeds with the following steps. First, the study takes on a theoretical examination of the orphism trend using a literature review. Second, based on its results, modern fashion's expressive features influenced by orphism are analyzed. Third, the study draws expression effects in modern fashion from these characteristics. The study coverage is confined to domestic and foreign collections released in the 21st century. The study contents come from an Internet-base domestic and international database and published material, including dissertations and books. Orphism expression effects are found in the following ways in modern fashion. First, it lies in the abstraction effect of color. This feature arrays flat geometric figure on the clothing surface and applies a strong sense of color inside it, as if color has an abstractive structured design. Second, it gives a dynamic sense visually to the clothes all at once by stressing the relation among and between the colors with powerful contrast. Third, it has a collage effect of color. This effect develops into an organic combination composed of geometric plane figures with intense complementary colors in a single piece of clothing. Expression types that presents the orphism effect in fashion are divided into clothing showing traditional orphism characteristics faithfully and clothing expressing conventional orphism characteristics mixed with modern trends. Further developed orphism fashion can be classified by the playful type, with graffiti added onto an orphism color structure, and the destructive type, where traditional orphism color orders are taken apart and reformed into a new color order.

Low-cost Assessment of Canopy Light Interception and Leaf Area in Soybean Canopy Cover using RGB Color Images (RGB 컬러 이미지를 이용한 콩의 군락 피복과 엽면적에 대한 저비용 평가)

  • Lee, Yun-Ho;Sang, Wan-Gyu;Baek, Jae-Kyeong;Kim, Jun-Hwan;Cho, Jung-Il;Seo, Myung-Chul
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.1
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    • pp.13-19
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    • 2020
  • This study compared RGB color images with canopy light interception (LI) and leaf area index (LAI) measurements for low cost and low labor. LAI and LI were measured from vertical gap fraction derived from top of digital image in soybean canopy cover (cv Daewonkong, Deapongkong and Pungsannamulkong). RGB color images, LAI, and LI were collected from V4.5 stage to R5stage. Image segmentation was based on excess green minus excess red index (ExG-ExR). There was a linear relationship between LAI measured with LI (r2=0.84). There was alinear relation ship between LI measured with canopy cover on image (CCI) (r2=0.94). There was a significant positive relationship(r2=0.74) between LAI and CCI at all grow ingseason. Therefore, it is expected that in the future, the RGB color image could be able to easily measure the LAI and the LI at low cost and low labor.

Improvement of Disparity Map using Loopy Belief Propagation based on Color and Edge (Disparity 보정을 위한 컬러와 윤곽선 기반 루피 신뢰도 전파 기법)

  • Kim, Eun Kyeong;Cho, Hyunhak;Lee, Hansoo;Wibowo, Suryo Adhi;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.5
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    • pp.502-508
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    • 2015
  • Stereo images have an advantage of calculating depth(distance) values which can not analyze from 2-D images. However, depth information obtained by stereo images has due to following reasons: it can be obtained by computation process; mismatching occurs when stereo matching is processing in occlusion which has an effect on accuracy of calculating depth information. Also, if global method is used for stereo matching, it needs a lot of computation. Therefore, this paper proposes the method obtaining disparity map which can reduce computation time and has higher accuracy than established method. Edge extraction which is image segmentation based on feature is used for improving accuracy and reducing computation time. Color K-Means method which is image segmentation based on color estimates correlation of objects in an image. And it extracts region of interest for applying Loopy Belief Propagation(LBP). For this, disparity map can be compensated by considering correlation of objects in the image. And it can reduce computation time because of calculating region of interest not all pixels. As a result, disparity map has more accurate and the proposed method reduces computation time.

A study on the Change in the Characteristics of Fashion Design Created through the Use of Fashion Flat Drawing and Midjourney (패션 도식화와 미드저니의 활용을 통하여 생성한 패션디자인의 특징 변화 연구)

  • Park, Keunsoo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.5
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    • pp.397-406
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    • 2024
  • Today, in the field of contemporary fashion design, AI is being actively utilized as a new design tool, leading to a new paradigm of collaboration between designers and AI. This study is about a method for developing integrated fashion design through collaboration between human designers and AI. The purpose of this study is to analyze the visual and formative characteristics and changes of fashion design images generated using the AI generation program Midjourney, thereby expanding the understanding and utilization methods of AI image generation programs in fashion design development. The results of this study are as follows. First, Midjourney has the characteristic of relying more on the characteristics of the existing image used rather than the command when creating the image. It also creates new images by distributing and applying the design through an eclectic interaction between the costume and the image background. By excluding the names of fashion items from the commands, you can generate images that can give you more diverse ideas. Second, Midjourney initially expressed clothing colors using colors used in fashion schematics in color creation, and gradually expanded to various color series. Third, there is a kind of compromise between color and design when Midjourney creates an image, and accordingly, by specifying and limiting the image background and clothing colors, more diverse and advanced fashion design images can be created.

Image Analysis of Black Female Fashion Models (흑인 여성 패션모델의 이미지 분석)

  • Rhew, Soo-Hyeon;Kim, Min-Ja
    • Journal of the Korean Society of Costume
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    • v.59 no.2
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    • pp.87-100
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    • 2009
  • This study examines black images as 'the other' in history and aims to analyze images of black female fashion models which have been changed in modern society, particularly in $21^{st}$ century post-modern world. Black images, established historically as illustrated on the paintings in $19^{th}$ century, were disseminated in $20^{th}$ century throughout the world especially by way of TV and movies as several typical images such as 'Coon' the clown as the object of entertainment, 'Buck' wild and resistant black rascal, and 'Mammy' obedient and fat black woman servant. The result of image analysis of black female fashion models, can be summarized as following five images. The first is the image of 'powerful'. Black female models frequently represent healthy image which reflects black people's excellence in sports and also the traditional Image of black skin color as strength. The second is the image of 'sexy'. They are adored as having perfect ideal body shape. They show off their sex appeal with their body. The third image is 'multicultural'. Black models represent cultures besides the western. The fourth is the image of 'fantastic'. In contrast to the real, resonable things, black female models represent wild, fancy, ghost things. The fifth is the image of 'racial discrimination' By arranging them in contrast to whites, a metaphoric image of racial discrimination can be displayed. The result shows that tome of racial images still remain on the other way.

Layered Depth Image Representation And H.264 Encoding of Multi-view video For Free viewpoint TV (자유시점 TV를 위한 다시점 비디오의 계층적 깊이 영상 표현과 H.264 부호화)

  • Shin, Jong Hong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.2
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    • pp.91-100
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    • 2011
  • Free viewpoint TV can provide multi-angle view point images for viewer needs. In the real world, But all angle view point images can not be captured by camera. Only a few any angle view point images are captured by each camera. Group of the captured images is called multi-view image. Therefore free viewpoint TV wants to production of virtual sub angle view point images form captured any angle view point images. Interpolation methods are known of this problem general solution. To product interpolated view point image of correct angle need to depth image of multi-view image. Unfortunately, multi-view video including depth image is necessary to develop a new compression encoding technique for storage and transmission because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method using layered depth image representation and H.264/AVC video coding technology. In experimental results, confirmed high compression performance and good quality reconstructed image.

The Image and Preference of School Uniform in a Girls' High School in Ulsan - Focused on a Category and a Grade Type - (울산지역 여고생의 교복 이미지 및 선호도 - 계열별, 학년별을 중심으로 -)

  • Han, Mi-Hee;Lee, Eun-Sook
    • Fashion & Textile Research Journal
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    • v.14 no.4
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    • pp.532-543
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    • 2012
  • This research is aimed at analyzing the image and preference of the school uniform of a girls' high school located in Ulsan. The analysis of 396 data were measured by the frequency, the t-test through SPSS 12.0. The results show that first, in the image, they associated a cold color, short v zone, necktie with mannish image, a coordination between boxy jacket and flared skirt or silhouette mixture of mannish image and feminie image with unfashionable. Second, sensibility images that they prefers differed significantly in mature, soft, and practical images between different academic spheres, and in terms of refined image between different grades. Third, in preference of school uniform wearing, photo 9 showed the significance by groups and photo 6 showed it by grade. As a result of uniform design preference analysis, significant differences were by academic shown on photo 2 in total harmony and color combination, on photo 3 in details, on photo 7 in lower garment design, on photo 8 in upper garment design, on photo 9 in total harmony, upper garment design, lower garment design, color combination and details. Meanwhile, photo 1 showed the significance by grade in color combination, photo 4 in total harmony and upper garment design, photo 7 in upper garment design, respectively. Through this study, we could assume schoolgirls' attitude toward school uniform currently worn by them and it is considered to be used for resolving diverse problems which have been raised when school uniform design is being planned to satisfy students' desires.

Consumer Trend Color Perception of Brand Personality and Attitude (소비자의 유행색 브랜드 개성 지각과 태도)

  • Chong, Sang-Soo;Lee, Yoo-Jin;Lee, Won-Jun
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.647-655
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    • 2009
  • Colors, as a part of contents, have great implications to consumers. Each individual feels the image of colors as an outcome of the accumulated experience or knowledge of oneself. This study aims to find the personality and meaning of color images through the predicted trend colors and to analyze the consumers' attitude towards them. We found that the 5 major trend colors such as Crystal Sound, Creamy Touch, Mysterious Vintage, Autumn Forest and Carnival seem to have their own personality images. Furthermore, we discovered that Crystal Sound has an image of a self-made man, Creamy Touch a highschool girl, Mysterious Vintage a God father, Autumn Forest the public and Carnival a circus clown as a result of additional adjective image analysis. In addition, customers marked the highest preference for Creamy Touch. The research result shows that the personality of an individual and that of colors are coincide and it might bring about a positive consumer behavior. And this research has a significant meaning since it is a sort of interdisciplinary study in-between fashion and marketing and it should be studied further later.

A Centroid-based Image Retrieval Scheme Using Centroid Situation Vector (Centroid 위치벡터를 이용한 영상 검색 기법)

  • 방상배;남재열;최재각
    • Journal of Broadcast Engineering
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    • v.7 no.2
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    • pp.126-135
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    • 2002
  • An image contains various features such as color, shape, texture and location information. When only one of those features is used to retrieve an image, it is difficult to acquire satisfactory retrieval efficiency. Especially, in the database with huge capacity, such phenomenon happens frequently. Therefore, by using moi·e features, efficiency of the contents-based image retrieval (CBIR) system can be improved. This paper proposes a technique to consider location information about specific color as well as color information in image using centroid situation vector. Centroid situation vectors are calculated for specific color of the query image. Then, location similarity is determined through comparing distances between extracted centroid situation vectors of query image and target image in the database. Simulation results show that the proposed method is robust in zoom-in or zoom-out processed images and improves discrimination ability in fliped or rotated images. In addition, the suggested method reduced computational complexity by overlapping information extraction, and that improved the retrieval speed using an efficient index file.