• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.2
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• pp.65-73
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• 2011

In this paper, we present a novel digital multifocusing approach using adaptive region-based histogram equalization for the multiple color-filter aperture (MCA) system with insufficient amount of incoming light. From the image acquired by the MCA system, we can estimate the depth information of objects at different distances by measuring the amount of misalignment among the RGB color planes. The estimated depth information is used to obtain multifocused images together with the process of the region-of-interests (ROIs) classification, registration, and fusion. However, the MCA system results in the low-exposure problem because of the limited size of the apertures. For overcoming this problem, we propose adaptive region-based histogram equalization. Based on the experimental results, the proposed algorithm is proved to be able to obtain in-focused images under the low light level environment.

• Journal of Internet Computing and Services
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• v.5 no.3
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• pp.73-86
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• 2004

This paper presents a hybrid digital watermarking scheme for color images, We insert two watermarks in the DWT domain using spread-spectrum correlation-based watermarking in luminance component of the color image and in spatial domain using pixel-value substitution of blue channel of color image. The objectives of this paper are to have the watermark robust to common signal processing and to detect any changes on the watermarked image for tamper detection at the same time. This watermark scheme will have the robustness characteristic as typical in frequency domain watermark, and also ability to detect any changes on the image (tamper detection).

• Journal of Broadcast Engineering
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• v.16 no.3
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• pp.561-565
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• 2011

This paper presents an imaging system for reconstruction of enhanced color images using the conventional Bayer CFA. By extracting various colors such as RGBCY from two sequential images which consist of a image by broadband G channel lens filter and the other image captured without one, the proposed color image reconstruction system can reduce the computational complexity for demosaicking and make high resolution color information without aliasing artifacts. Because the proposed system uses the common Bayer CFA image sensor, fabricating a new type of CFA is not necessary for obtaining a multi-spectral image, which can be easily extensible for applications of multi-spectral imaging. Finally, in order to verify the performance of the proposed system, experimental results are performed. By comparing with the existing demosaicking methods, the proposed camera system showed the significant improvements in the sense of color resolution.

• Horticultural Science & Technology
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• v.17 no.2
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• pp.127-130
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• 1999

This study was attempted to develop the algorithm for recognizing fruits acquired from apple tree images with digital camera in sunlight. As the result of L*a*b* color transformation for reducing the effect of sunlight, a* and b* color index were effective to extract apple pixels in tree images and linear discrimination functions with color index a* b* were developed. To recognize fruits from apple pixels, those were classified into 4 patterns according to clustering condition and morphologically filtered. Test results showed that apple fruits unoccluded were exactly recognized, whereas apple fruits occluded with leaves and trunk were miscounted 2 apples on average.

• The Research Journal of the Costume Culture
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• v.17 no.4
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• pp.561-574
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• 2009

Black has been the most important color of all since the ancient times when the recognition of black roused, as well as during most of the eras; and can especially be said as the main color which controlled the chronicles of fashion. The purpose of the study was to broaden the application of black color image make-up by inquiring into make-up design elemental characteristics of lines and textures, after classifying magazine illustrations and advertisement make-up images using black. The photos which made effective use of black among fashion illustrations, magazine advertisements after 2001 were classified in to each type, and make-up expression method and characteristics according to design element of each image type was analyzed. The conclusion of such study was the following. 'Erotic image' showed contrast effect between eye make-up and lip color by using pale tone or red color. 'Mannish image' emphasized form and texture of eyebrow by restraining the colors of eyelids with natural brown tone eye make-up; 'Modern image' expressed vague eyebrow to bring the sensation of the direction of eye shadow on eyelids and eye line as well as slant line to relief. 'Kitsch image' showed free and light imagery by creating unique hair style with various colors; expressing lips mostly with colors similar to skin tone or by restraining colors on lips. 'Decadence image' showed messy and foul sensation with unstandardized eye make-up and matt skin of shimmer, glossy and pale tone, also with black colored lips; 'Retro image' expressed reinterpretation of images from 1920${\sim}$1960 to contemporary styles.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.668-674
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• 2008

When various kinds of contents are developed in accordance with higher rate of Internet use to have quality conditions, added values can be elevated in genuinely strong power of Internet. As soon as visiting web site on Internet, men are invited to visit corresponding information web site by a variety of techniques and colors. The visual expression is thought to be important, and color plans of web designs play an important role. This is because the color decides on images of web design to transfer sense as an important element. The paper selected colors by each type of web site and investigated color images. The purpose of the paper is to classify local web sites by each type, for instance, identity, information/community, entertainment, shopping and learning, etc and to suggest directions of color image plan by each type of web site.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.402-411
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• 2000

It is an important step in video indexing and retrieval to detect shot boundaries on video data. Some approaches are proposed to detect shot changes by computing color histogram differences or the variances of DCT coefficients. However, these approaches do not consider the content or meaningful features in the image data which are useful in high level video processing. In particular, it is desirable to detect these features from compressed video data because this requires less processing overhead. In this paper, we propose a new method to detect shot boundaries from MPEG data using region flow and color information. First, we reconstruct DC images and compute region flow information and color histogram differences from HSV quantized images. Then, we compute the points at which region flow has discontinuities or color histogram differences are high. Finally, we decide those points as shot boundaries according to our proposed algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.972-980
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• 2022

The butterfly species recognition technology based on machine learning using images has the effect of reducing a lot of time and cost of those involved in the related field to understand the diversity, number, and habitat distribution of butterfly species. In order to improve the accuracy and time efficiency of butterfly species classification, various features used as the inputs of machine learning models have been studied. Among them, branch length similarity(BLS) entropy or color intensity entropy methods using the concept of entropy showed higher accuracy and shorter learning time than other features such as Fourier transform or wavelet. This paper proposes a feature extraction algorithm using RGB color intensity entropy for butterfly color images. In addition, we develop butterfly recognition systems that combines the proposed feature extraction method with representative ensemble models and evaluate their performance.

• Journal of Fashion Business
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• v.28 no.4
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• pp.113-128
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• 2024

This study explored boundaryless characteristics of Posthumanist black color fashion by examining fashion collections from 2018 to 2023 that explicitly incorporated Posthumanist paradigms through literature review and case analysis. Black color fashion reflects key Posthumanist attributes such as dissolution of boundaries in ecology, academia, gender, and Western-centrism. These characteristics are manifested as 'organic expression of nature and technology encompassing the body,' 'robust expression of hybridized imagery,' and 'fusion of Eastern traditional cultural expressions.' In the 'organic expression of nature and technology,' flora and fauna motifs are applied or an advanced technology is employed to realize organic forms, offering an experimental representation of post-anthropocentrism, focusing on avant-garde and sensuous fashion images. 'Robust expression of hybridized imagery' combines masculine body expressions with bold accessories to convey a resistant fashion image to gender identity norms while utilizing traditional male fashion items to present a strong and charismatic image. 'Fusion of Eastern traditional cultural expressions' integrates traditional elements from various Eastern cultures into materials, producing opulent yet ascetic fashion images through designs that can conceal the body's silhouette, reflecting a restrained image of black in Eastern cultures. This study provides a multi-layered interpretation of black color fashion in the Posthuman era, addressing themes such as 'representation of diverse organic life forms, gender fluidity, and challenges to Western-centric narratives,' contributing to a deeper understanding of how fashion interacts with socio-cultural contexts.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.47-55
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• 2003

In this paper, we propose a new approach to detect peculiar features of license plates using intensity vector and composite color component in order to extract license plates from parking regulation images, which is captured in various locations around the front or the rear of cars at various times and places, and in which complex background is included. We fundamentally use both features that intensity value repeats frequently increasing and decreasing because intensity is obviously different at numerics and background, and that color is uniform in the area of license plates. First, we search each row at regular intervals starting from the bottom of a license-plate image, and we set up a rough region for a certain zone in which tile sign of intensity vector changes frequently enough and color of license plate is detected enough, assuming it as a candidate location of a license plate. And then, we extract an elaborate area of a license plate by projecting vertical edges horizontally and vertically. Here, type of cars, such as the urinate and the public, is easily classified according to the color of extracted plates. We used 200 actual regulation images, which are captured at various times and places, to evaluate the performance of the proposed method. As a result, the proposed method showed extraction rate of 96%, which is 9% higher than the previous method using only intensity vector.