• International Journal of Advanced Culture Technology
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• 제7권4호
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• pp.242-245
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• 2019

In this paper, watermark embedding technique was proposed to securely conceal the watermark in color cover image by applying the spatial encryption technique. The embedded watermak can be extracted from stego-image without loss. The quality of the stego-image is very good. So it is not possible to visually distinguish the difference between the original cover image and the stego-image. The validity of the proposed technique was verified by mathematical analysis. The proposed watermark embedding technique can be used for intellectual property protection, military, and medical applications that require high security.

• 한국지능시스템학회논문지
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• 제18권3호
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• pp.422-428
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• 2008

본 논문에서는 spatial gradient를 이용한 강인한 물체 추출 방법을 제안한다. 제안한 방법은 먼저 복잡한 환경과 다양한 빛의 변화에 의해 나타나는 에러 값 등을 해결하기 위해 기존에 제안된 입력 영상과 기준 영상에서 밝기와 색 성분을 이용하여 최초 배경을 제거한다. 배경을 제거한 다음, 그림자로 인식되어 전경 영역에 추가된 부분을 RGB 칼라 모델과 정규화 된 RGB 칼라 모델을 이용하여 제거하고, HSI 칼라 모델을 이용하여 불필요한 정보 값을 갖는 영역을 제거한다. 마지막으로, 배경으로 인식되어 전경으로부터 제거된 부분을 입력 영상의 공간상 정보인 spatial gradient와 HSI 칼라 모델을 이용하여 복구하는 방법을 제안한다. 마지막으로, 본 논문에서 제안한 알고리즘은 복잡하고 다양한 실내 외 환경에서의 실험을 통해 그 응용 가능성을 증명한다.

• 한국광학회:학술대회논문집
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• 한국광학회 2001년도 하계학술발표회
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• pp.164-165
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• 2001

No Abstract.See Full-text

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.3108-3120
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• 2019

Point cloud is widely used in 3D applications due to the recent advancement of 3D data acquisition technology. Polygonal mesh-based compression has been dominant since it can replace many points sharing a surface with a set of vertices with mesh structure. Recent point cloud-based applications demand more point-based interactivity, which makes point cloud compression (PCC) becomes more attractive than 3D mesh compression. Interestingly, an exploration activity has been started to explore the feasibility of PCC standard in MPEG. In this paper, a new color attribute compression method is presented for point cloud data. The proposed method utilizes the spatial redundancy among color attribute data to construct a color palette. The color palette is constructed by using K-means clustering method and each color data in point cloud is represented by the index of its similar color in palette. To further improve the compression efficiency, the spatial redundancy between the indices of neighboring colors is also removed by marking them using a flag bit. Experimental results show that the proposed method achieves a better improvement of RD performance compared with that of the MPEG PCC reference software.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
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• pp.1973-1974
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• 2006

The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local maxima of a similarity measure between the color histograms of the target and candidate image. However, the mean shift tracking algorithm using only color histograms has a serious defect. It doesn't use the spatial information of the target. Thus, it is difficult to model the target more exactly. And it is likely to lose the target during the occlusions of other objects which have similar color distributions. To deal with these difficulties we use both color information and spatial information of the target. Our proposed algorithm is robust to occlusions and scale changes in front of dynamic, unstructured background. In addition, our proposed method is computationally efficient. Therefore, it can be executed in real-time.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.9-11
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• 2005

We propose a new content-based image retrieval using a block color co-occurrence matrix (BCCM) and pattern correlogram. In the proposed method, the color feature vectors are extracted by using BCCM that represents the probability of the co-occurrence of two mean colors within blocks. Also the pattern feature vectors are extracted by using pattern correlogram which is combined with spatial correlation of pattern. In the proposed pattern correlogram method. after block-divided image is classified into 48 patterns with respect to the change of the RGB color of the image, joint probability between the same pattern from the surrounding blocks existing at the fixed distance and the center pattern is calculated. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.

• 반도체디스플레이기술학회지
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• 제6권2호
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• pp.53-57
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• 2007

In this paper, a new content-based color image retrieval method is proposed, in which both the color content and the spatial relationship of image have been taken into account. In order to represent the spatial distribution information of image, a disorder matrix, which has the invariance to the rotation and translation of the image content, has been designed. This is based on multi-resolution color-spatial information. We present our algorithm in the following section, and then verified the search results with comparison to other methods, such as color histogram, wavelet histogram, correlogram and wavelet correlogram. Experimental results with various types of images show that the proposed method not only achieves a high image retrieval performance but also improve the retrieval precision.

• 전자공학회논문지B
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• 제33B권4호
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• pp.101-110
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• 1996

Color image quantization is a process of selecting a set of colors to display an image with some representative colors without noticeable perceived difference. It is very important in many applications to display a true color image in a low cost color monitor or printer. the basic problem is how to display 224 colors with 256 or less colors, called color palette. In this paper, we propose an algorithm to design the 256 or less size color palette by using spatial maskin geffect of HVS and subjective distortion measure weighted by color palette by using spatial masking effect of HVS and subjective distortion measure weighted by color activity in 4*4 local region in any color image. The proposed algorithm consists of octal prequantization and subdivision quantization processing step using the distortion measure and modified Otsu's between class variance maximization method. The experimental results show that the proposed algorithm has higher visual quality and needs less consuming time than conventional algorithms.

• 전자공학회논문지 IE
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• 제43권2호
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• pp.39-48
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• 2006

본 논문은 공간적 자동 객체 분할의 개념과 클러스터링 개념을 가진 웨이브렛 형태학 알고리즘을 제안하였다. 제안된 알고리즘을 이용하여 컬러 얼굴을 분할할 때 영상을 단순화하였으며, 또한 사용자의 조작 없이 실시간적으로 분할해 검출할 수 있도록 공간적 특성을 이용하였다. 이것은 HSV 컬러 모델을 이용하여 영상에서 잡음으로 간주되는 작은 부분을 제거하고, 얼굴영상 이외의 부분을 제거하기 위해 웨이브렛 형태학을 적용하였다. 본 논문은 웨이브렛 형태학 알고리즘과 형태학 알고리즘을 비교하였으며, 그리고 HSV 컬러 공간 모델을 적용한 영상에서 얼굴 객체 부분을 정확하게 검출함을 보였다.

• 한국지리정보학회지
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• 제12권4호
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• pp.125-135
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• 2009

FIHS(Fast Intensity Hue Saturation) 융합은 빠른 계산 능력 때문에 널리 이용되고 있으나 IHS(Intensity Hue Saturation) 융합과 마찬가지로 분광정보 왜곡 현상이 나타난다. 본 논문에서는 각 분광 대역의 비율을 이용하여 분광정보 왜곡을 줄일 수 있는 융합법(FIHS-BR)과 공간정보 및 분광 대역의 비율을 활용한 적응 FIHS 융합법(FIHS-SABR)을 제안하였다. 제안한 FIHS-BR 융합은 각 분광 대역의 비율을 이용하여 구한 분광 대역별로 서로 다른 공간 해상도 개선 값을 더하여 분광정보 왜곡을 줄일 수 있도록 하였으며, FIHS-SABR 융합은 국부 영상의 공간정보 특성에 따라 적응적으로 결정된 공간 해상도 개선 값을 각 분광 대역의 비율에 따라 분광 대역별로 재조정하여 분광 정보 왜곡을 더 많이 줄일 수 있도록 하였다. 제안한 FIHS-BR 융합과 FIHS-SABR 융합의 성능을 확인하기 위하여 IKONOS 위성 영상에 대하여 컴퓨터 시뮬레이션을 수행하였으며, 실험 결과 제안 방법들이 기존 융합 영상에서 색상 왜곡이 심하게 나타나는 삼림지역 등에서 색상 왜곡 현상이 적게 나타남을 확인할 수 있었으며, 융합 영상의 분광정보 특성 평가 결과도 가장 우수함을 확인할 수 있었다.