• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.64-76
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• 2014

This study aimed to analyze the expressive characteristics of design elements and fashion images shown in wedding dress styles in the 2000s. The findings were as follows. First, in wedding dress style the fashion images analysis showed that classic images appeared the most frequently, and fantastic, modern, kitsch, sexy, futuristic and ethnic images appeared the most, respectively. Second, design elements analysis of fashion images concluded that as for the appearance frequency of the silhouette, A line was the highest in classic, fantastic and kitsch images and H line was the highest in ethnic, modern, futuristic and sexy image. As for the appearance frequency of the necklines, bared top neckline was the highest in all of the fashion images. As for waistlines, natural waistlines except modern image of obscure waistlines appeared the most frequently in all of the images. As for sleeve, sleeveless appeared the most frequently in all of the images. As for material, see-through was the highest in ethnic, classic, sexy, fantastic and kitsch images. Luster material was the highest in modern and futuristic image. As for colors, white and achromatic, traditional wedding dress color, appeared the same in all of the seven fashion images, but chromatic colors appeared the most frequently in ethnic images. Third, the distinguishing expression features of fashion images shown in the wedding dress style of the times is as follows: 'Total fashion in wedding dress style', 'Emphasizes sexy image expression in wedding dress style', 'Various co-existence of wedding dress style', and 'Avant-garde expression in wedding dress style'.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12C
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• pp.1004-1009
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• 2010

ost digital cameras use single sensor array with color filter array to reduce size and cost. However images taken by single sensor array have only one color component per pixel, to obtain a color image missing two color components need to be reconstructed. This reconstructing process is called as demosaicking. This paper propose a new directional demosaicking method and proposed method achieves better image quality with enhanced weighting function. With comparing objective and subjective performance, we show proposed method achieves better performance than the conventional methods.

• Journal of information and communication convergence engineering
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• v.14 no.3
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• pp.200-206
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• 2016

Images can be obtained by collecting rays from objects. The characteristics of electromagnetic wave propagation depend on the medium. In particular, in an underwater imaging system, the interface between air and water must be considered. Further, reflection and transmission coefficients can be found by using electromagnetic theory. Because of the fact that the values of these coefficients differ according to the media, the recorded light intensities will change. A color image sensor has three different color channels. Therefore, the reflection and transmission coefficients have to be calculated individually. Thereafter, by using these coefficients, we can compensate for the color information of underwater objects. In this paper, we present a method to compensate for the color information of underwater objects by using electromagnetic wave propagation theory. To prove our method, we conducted optical experiments and evaluated the quality of the compensated image by a metric known as mean square error.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.4
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• pp.289-294
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• 2015

In order to make digital processing of facial color, standardization methods of photographing and observational requirements and gloss-detecting are done through preceding papers and actual experiences. Examiner's observational informations should be contained with original and temporary color, normalcy and deviation range and gloss. And these are interrelated with time, interior and exterior temperature, emotional state, so should be recorded too. Picturing procedure should be controlled in simple and practical but objective way. Just water cleansing, 15 to 20 minute resting, prohibiton of moisturizing of examinee are common for examiner. Temperature and moisture, width, light source requirement, brightness, polarizing filter of parlor and camera-to-object distance, posture of examinee are should be recorded. In addition, pre and post-revision of color and manifestation of color space after taking images are needed coping with construction of diagnostic database.

• Journal of Korea Multimedia Society
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• v.7 no.3
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• pp.319-326
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• 2004

In this paper, we propose color image segmentation by region merging method preserving the boundary of an object. The proposed method selects initial region by using quantized image's index map after vector quantizing an original image. After then, we merge regions by applying boundary restricted factor in order to consider the boundary of an object in HSI color space. Also we merge the regions in RGB color space for non-processed regions in HSI color space. And we reduce processing time by decreasing iterative process in region merging algorithm. Experimental results have demonstrated the superiority in region's segmentation results and processing time for various images.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.182-183
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• 2018

Most of the photographs or images of the present age have pixels of various colors that can not be recognized by human eyes. For a specific purpose, pixel-based image processing is inevitable rather than passive investigation using the human eye in order to find areas of color similar to the target color. In this paper, we try to detect all the pixels of the same color or the same color in the image. We will also try to find pixels within the error range that are similar in color to the color we are looking for.

• Journal of the Semiconductor & Display Technology
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• v.5 no.2 s.15
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• pp.15-18
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• 2006

This paper presents a optimizing algorithm getting through analyzing a image improvement algorithm using retinex theory. Improving a existing retinex theory's slow process speed, our proposal is that it controls a small filter size of surrounding function by comparing with original algorithm. So slow process speed decreased drastically. For filling a short of lighting information by small filter, we also selected gray image as a forth channel. Using the color constancy, we got fast process time like linear color correction and could do comfortable auto color rectification according to other images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.213-224
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• 2010

In this paper, we propose an algorithm both geometric correction using a grid point image and radiometric adaptive projection that dependent upon the luminance of the input image and that of the background. This method projects and captures the grid point image then calculates the geometrically corrected position by difference between the two images. Next, to compensate color, a corrected image is calculated by the ratio divided luminance of an input image by luminance of arbitrary surface. In addition, we found the scaling factor which controls the contrast to avoid clipping error. At this time, the scaling factor is dependent on mean image lightness when background is determined. Experimental results show that the proposed method achieves good performance and is able to reduce the perceived color clipping and artifacts, better approximating the projection on a white screen.

• Journal of the Korea Computer Graphics Society
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• v.16 no.2
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• pp.19-28
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• 2010

In this paper, we proposes a method that analyzes the characteristics and patterns of color juxtaposition based on the color wheel used by pointillism painter and an algorithm that generates pointillistic images by applying obtained analysis data. In order to analyze color juxtaposition of pointillism, we extract the stroke colors of real painting and find the most similar probability density functions(PDFs) through applying good-of-fit tests for the probabilistic distribution of stroke colors. By performing the juxtaposition of color based on the found PDFs, we can convert input image to pointillistic image effectively. It can be seen that this study shows reliability in the use of data obtained from actual paintings and that leads to perform a reasonable work.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.63-71
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• 2003

This paper describes a color image segmentation algorithm based on region merging using hue difference as a restrictive condition. The proposed algorithm using mathematical morphology and a modified watershed algorithm does over-segmentation in the RGB space to preserve contour information of regions. Then, the segmentation result of color image is acquired by repeated region merging using hue differences as a restrictive condition. This stems from human visual system based on hue, saturation, and intensity. Hue difference between two regions is used as a restrictive condition for region merging because it becomes more important factor than color difference if intensity is not low. Simulation results show that the proposed color image segmentation algorithm provides efficient segmentation results with the predefined number of regions for various color images.