• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.275-276
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• 2006

본 논문에서는 내용기반 영상검색을 보다 효과적인 알고리즘 설계를 위해 칼라 RGB 특징정보 추출에 median 필터링을 이용한 영상검색의 성능을 분석하였다. 칼라영상에서 각각의 R,G,B칼라영상으로 나눈 후 일정크기의 블록으로 분할하여 R,G,B 각각의 중간값을 추출하고 크기순과 레벨의 특징자를 이용한 영상검색 기법을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.660-663
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• 2010

현대사회에서 정보통신 분야는 전략산업이며 일상생활에서 필수적인 요소로 자리잡고 있으며 이를 대표하는 것이 모바일 관련 분야라 할 수 있다. 특히, 휴대폰은 단순한 통화 기능 외에 다양한 기능들이 지속적으로 추가되면서 이를 활용한 분야가 다양화되어 가고 있다. 따라서 본 논문에서는 최근에 가장 보편화된 이동통신 수단이 휴대폰에 내장되어 있는 카메라에 대한 각 제조사별 성능을 비교, 분석하였다. 이를 위해 각 제조사별 휴대폰 카메라의 Hot Pixel, Dead Pixel을 검출하고, 빛의 3원색인 RGB 체계를 분석하여 객관적인 성능 비교를 실험하였다.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.450-460
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• 2005

Today, multimedia information is used on the internet and various social areas by rapid development of computer and communication technology. Therefor, the usage is growing dramatically. Multimedia information analysis system is basically based on text. So, there are many difficult problems like expressing ambiguity of multimedia information, excessive burden of works in appending notes and a lack of objectivity. In this study, we suggest a method which uses color and shape information of multimedia image partitions efficiently analyze a large amount of multimedia information. Partitions use field growth and union method. To extract color information, we use distinctive information which matches with a representative color from converting process from RGB(Red Green Blue) to HSI(Hue Saturation Intensity). Also, we use IMI(Improved Moment Invariants) which target to only outline pixels of an object and execute computing as shape information.

• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.187-194
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• 2013

The final aim of the present study is to build a system of converting a color image into musical elements based on a synesthetic perception, emulating human synesthetic skills, which make it possible to associate a color image with a specific sound. This can be done on the basis of the similarities between physical frequency information of both light and sound. As a first step, an input true color image is converted into hue, saturation, and intensity domains based on a color model conversion theory. In the next step, musical elements including note, octave, loudness, and duration are extracted from each domain of the HSI color model. A fundamental frequency (F0) is then extracted from both hue and intensity histograms. The loudness and duration are extracted from both intensity and saturation histograms, respectively. In experiments, the proposed system on the conversion of a color image into musical elements was implemented using standard C and Microsoft Visual C++(ver. 6.0). Through the proposed system, the extracted musical elements were synthesized to finally generate a sound source in a WAV file format. The simulation results revealed that the musical elements, which were extracted from an input RGB color image, reflected in its output sound signals.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.399-404
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• 2017

If game images use colors improper for certain ages, the characteristics of games disappear, and the efficiency of image expression drops. thus a study in color is very important. Nevertheless, there is a lack of research on this subject. In this study, we investigated the difference of color of game images according to users. User group is divided into all users and users over 18 years old. Among the rank of games,10 each from games for all ages and games for non-teen-rated are selected, and the game-playing images are taken as snapshots to have 100 each images each, A total of 2000 images were extracted and the mean values of RGB and HSB of each game were obtained and independent sample t test was performed. The results showed that the RGB color values between the two users were significantly significant. In the future, it is expected that it will be helpful in color selection when developing psychotherapy games and emotional games using color psychology. Furthermore, we will use color image scales to express colors as adjectives, analyze colors in a variety of ways, and investigate the difference in color of game images in each country.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.347-350
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• 2011

This paper propose a statistical color model of background extraction base on Hue-Saturation-Value(HSV) color space, instead of the traditional RGB space, and shows that it provides a better use of the color information. HSV color space corresponds closely to the human perception of color and it has revealed more accuracy to distinguish shadows [3] [4]. The key feature of this segmentation method is based on processing hue component of color in HSV color space on image area. The HSV color model is used, its color components are efficiently analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination condition and shadows. Polar and linear statistical operations are used to calculate the background from the video frames. The experimental results show that the proposed background subtraction method can automatically segment video objects robustly and accurately in various illuminating and shadow environments.

• Journal of Korea Multimedia Society
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• v.24 no.9
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• pp.1224-1241
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• 2021

Recent development of deep learning techniques for image generation has led to straightforward generation of sophisticated deepfakes. However, as a result, privacy violations through deepfakes has also became increased. To solve this issue, a number of techniques for deepfake detection have been proposed, which are mainly focused on RGB channel-based analysis. Although existing studies have suggested the effectiveness of other color model-based analysis (i.e., Grayscale), their effectiveness has not been quantitatively validated yet. Thus, in this paper, we compare the effectiveness of Grayscale channel-based analysis with RGB channel-based analysis in deepfake detection. Based on the selected CNN-based models and deepfake datasets, we measured the performance of each color model-based analysis in terms of accuracy and time. The evaluation results confirmed that Grayscale channel-based analysis performs better than RGB-channel analysis in several cases.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1391-1406
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• 2020

A zero-watermarking algorithm in transform domain based on RGB channel and voting strategy is proposed. The registration and identification of ownership have achieved copyright protection for color images. In the ownership registration, discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) are used comprehensively because they have the characteristics of multi-resolution, energy concentration and stability, which is conducive to improving the robustness of the proposed algorithm. In order to take full advantage of the characteristics of the image, we use three channels of R, G, and B of a color image to construct three master shares, instead of using data from only one channel. Then, in order to improve security, the master share is superimposed with the copyright watermark encrypted by the owner's key to generate an ownership share. When the ownership is authenticated, copyright watermarks are extracted from the three channels of the disputed image. Then using voting decisions, the final copyright information is determined by comparing the extracted three watermarks bit by bit. Experimental results show that the proposed zero watermarking scheme is robust to conventional attacks such as JPEG compression, noise addition, filtering and tampering, and has higher stability in various common color images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.10
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• pp.1828-1834
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• 2007

This study proposes a new digital watermarking technique based on wavelet transformation on color image. First the $YC_bC_r$ coordinates obtain from RGB color space. then, the correlation of watermark is decreased by Arnold transformation. Next, watermark which has been enlarged by Linear Bit-expansion is inserted at a given intensity in Color images' low frequency sub-bands. When detecting the presence of watermark, F-norm function is applied. As a result of the various experiments on color images, the proposed watermarking technique has outstanding quality in regards to fidelity and robustness.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.395-397
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• 1999

디지털 카메라에 의해 획득된 RGB 칼라 신호는 디지털 카메라의 하드웨어적인 특성에 따라 서로 다른 값을 가지는 장비 의존적(Device Dependent) 특성을 가지며, 칼라 운영 시스템(CMS; Color Management System)이 프로파일 연결 칼라 공간(PCS:Profile Connection Space)으로 사용하는 CIE XYZ 칼라 공간에 대해 비선형적인 특성을 가진다. 본 논문에서는 디지털 카메라의 RGB 칼라 신호를 장비 독립적(Device Independent)인 CIE XYZ 칼라 공간으로 변환하는 변환 행렬을 구하는 방법을 제안한다. 변환 행렬은 비선형 다항식을 이용하여 3$\times$m의 변환 행렬을 구하고, 실험에 사용되는 칼라 샘플의 수에 따른 일반화(Generalization) 성능을 평가한다.