• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.11
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• pp.928-937
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• 2013

This paper presents a novel contrast enhancement method based on singular value decomposition and image pyramid. The proposed method consists mainly of four steps. The proposed algorithm firstly decomposes image into band-pass images, including basis image and detail images, to improve both the global contrast and the local detail. In the global contrast process, singular value decomposition is used for contrast enhancement; the local detail scheme uses weighting factors. In the final image composition process, the proposed algorithm combines color and luminance components in order to preserve the color consistency. Experimental results show that the proposed algorithm improves contrast performance and enhances detail compared to conventional methods.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.623-626
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• 2003

Image analysis was performed with two color systems, Red-Green-Blue (RGB) values and normalized Hue-Saturation-Intensity (HSI). We conducted field studies in Cheongju to determine canopy spectral reflectance and digital image analysis of rice. Spectral reflectance measurements made with a portable spectrometer(LI-1800) correlated with growing stage and digital images for rice. Images in which the color was specified by the common RGB coordinates could be used when there was a sharp contrast between the color of the rice and that of the field soil. In the absence of sharp contrast, identification of the rice covered area was much easer after the color had been transformed into HSI coordinates. This study introduced fundamental theories in digital image analysis and applied that for field situations rice.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.3
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• pp.525-532
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• 2018

Recently, due to the advancements of sensor network technologies and camera technologies, there are increasing needs to effectively monitor the environment in a region that is difficult to access by using the visual sensor network that combines these two technologies. Since the image captured by the visual sensor reflects the natural phenomenon as it is, the quality of the image may deteriorate depending on the weather or time. In this paper, we propose an algorithm to improve the contrast of images using the characteristics of images obtained from visual sensors. In the proposed method, we first set the region of interest and then analyzes the change of the color value of the region of interest according to the brightness value of the image. The contrast of an image is improved by using the high contrast image of the same object and the analysis information. It is shown by experimental results that the proposed method improves the contrast of an image by restoring the color components of the low contrast image simply and accurately.

• Korean Institute of Interior Design Journal
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• no.7
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• pp.31-37
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• 1996

The purpose of this study is to grasp the characteristics by image type in interior color. This experiment is carried out by the evaluation method of color simulation with the color image processor. And the result of this experimental evaluation is analyzed quantitatively by HAYASI 1 Program. The results of this analysis are as follows : 1) In casual and clear images, the most main colors are GY, PB, Y , and N, Casual image has high chroma and the most arrangement of colors is hue-contrast or contrast -harmony with white. Also the main colors of clear image are in identical or similar harmony with the hues of floor. 2) In romantic, elegant, pretty, and gorgeous images, the most main colors are GY, RP, R , YR and Y and the most arrangement of colors is identical or similar harmony. The romantic image of pastel tone is wholly lighter than the pretty image of bright tone. And elegant image is lower in chroma than romantic images, so generally dark. Also gorgeous image is the vivid tone with high chroma. 3) In chic and modern images, the main colors are the hues of B, PB, high value and low chroma with bright tone. Also, the main colors are in identical or similar harmony with the hues of floor : BG , B, PB and P. 4) In natural and semiclassic images, the main color is the warm color of Y, YR and the most arrangement of colors is identical or similar harmony. Also Semiclassic images is the dull tone with middle value and middle chroma and darker tone than natural image. 5) In dynamic image, the main color is the hue of N, Y, PB and GY and most of color is high chroma. And the most arrangement of colors is value-contrast.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.917-918
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• 2008

Histogram Equalization (HE) method is widely used for contrast enhancement. However, HE often introduce washed out appearance or color distortion due to the over enhancement in contrast. In this paper, Dynamic Range Separate Histogram Equalization (DRSHE) is proposed for contrast enhancement. DRSHE reconfigures the dynamic range of histogram using probability distribution ratio. The experimental results show that DRSHE suppresses the washed out appearance or color distortion and preserves naturalness of the original image compared with conventional methods.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07a
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• pp.27-28
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• 2005

We developed Super IPS mode TFT-LCD TV which have contrast ratio over 800:1. To increase contrast ratio, polarizer film, TFT design and color filter photoresist are investigated. In this report, we describe the basic concept and effectiveness of each item. The application of a newly developed color filter photoresist was the most effective for achieving this high contrast ratio.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.369-370
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• 2007

In this paper, an image enhancement method by saturation and contrast improvement is proposed. Histogram equalization with color difference makes higher contrast. By generating saturation amplification ratio with color difference, the saturation improves effectively. The experimental results show that the proposed algorithm has higher contrast and more natural - look than the conventional methods.

• The Research Journal of the Costume Culture
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• v.16 no.5
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• pp.863-877
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• 2008

The purpose of this study is to investigate the effect of dot pattern size(0.8, 1.8, 2.5, 5, 8), color combination (BG/R, Y/B), value tone(lt/dk, p/g), area-ratio on image information. Sets of stimulus and response scales(7 point semantic) were used as experimental materials. The stimuli were 20 color pictures manipulated with the combination of dot pattern size, color combination, value tone and area-ratio using computer simulation. The subjects were 240 female undergraduates living in Gyeongsangnam-do. Image factor of the stimulus was composed of 4 different components, visibility, chastity.feminity, cuteness and attractiveness. In the visibility, color combination, value tone, area-ratio, dot pattern size showed independent effect. In the chastity feminity, color combination, value tone, showed independent effect. In the cuteness, value tone, area-ratio, dot pattern size showed independent effect. Significant interaction effects of color and area-ratio combination on visibility and cuteness were found. Interaction efforts of color and value tone combination, value tone and area-ratio was significant on cuteness. For visibility image, BG/R combination of color and yellow background/blue dots were effective. For cuteness image, pale/grayish tone and background/dots area-ratio were effective.

• Fashion & Textile Research Journal
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• v.13 no.2
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• pp.147-154
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• 2011

The purpose of this study was to investigate the clothing image according to coloration, tone, and interval of checked pattern in color contrast. The experimental materials developed for this study were a set of stimulus and response scales. The stimuli were 24 color pictures, in which coloration(RB: Red+Blue, YP: Yellow+Purple), tone(light, dull, dark), and interval(0.5 cm, 1.5 cm, 3.5 cm, 5.5 cm) were manipulated. The 7-point scale was used for evaluation of clothing image. Data were obtained from 240 female college students living in Seoul, Gwangju, Jinju, and Masan on May 2010. For data analysis, ANOVA and Duncan-test were used by using SPSS program. Results of this study were as follows.; Clothing image according to coloration, tone, and interval of checked pattern consisted of five dimensions of attractiveness, freshness, appeal, modesty, and activity. Coloration showed an independent effect on attractiveness and appeal. Tone showed an independent effect on freshness, appeal, and modesty. Interval showed an independent effect on freshness. Also, interaction effects of coloration and tone on appeal were found. Interaction effects of coloration and interval on modesty were found.

• Journal of the Korean Society of Costume
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• v.62 no.3
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• pp.120-136
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• 2012

The purposes of this study is to analyze the formative relationship between artistic eye-makeup and clothes design by focusing on the period from 2000 to 2010 and to find out the development direction of the next makeup design. This study considered formative theory to analyze the formative relationship between artistic eye-makeup and clothes design of $Marian$ $L.$ $Davis$ and $Marilyn$ $R.$ $Delong's$ theory, and analyzed the formative relationship between artistic eye-makeup and clothes design in an aspect of line and form, color and material, The results are as follows: First, the shapes of the artistic eye-makeup such as tear drops, and rectangular paisleys were similar with the form of clothes such as the hourglass, cylinders and mix-types. Second, monotonic color coordination mainly appeared and sometimes contrast color coordination that induced complex contrast coordination were apparent as well. Third, the objects of the artistic eye-makeup such as glitter papers, spangles and beads had similar features as the material of clothes such as silk and spangle, and contrast was partially used like colors. The results suggest that artistic eye-makeup and clothes have an organic relationship, and artistic eye-makeup is changed with formative elements of clothes.