• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2006.06a
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• pp.33-36
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• 2006

본 논문은 에지부분에서 뚜렷한 영상의 복원이 가능하도록 하는 칼라 영상의 비선형 보간 기법에 관한 것이다. 일반적으로 칼라영상을 구성하고 있는 성분중 휘도신호(Y)가 에지(edge)성분에 충실한 정보를 갖고 있다는 점에 착안하여 알고리즘 연구를 수행하였다. 일반적인 선형 보간 방법을 사용할 시 영상에서 고주파 대역의 손실을 일으키므로 영상의 화질 열화가 발생한다. 이를 보완하기 위해 본 논문에서는 비선형 보간법인 에지 방향성 보간 방법을 제안하였다 또한 조밀한 에지 영역에서의 에지 방향성 보간의 단점을 극복하기 위해 선형 보간과 에지방향성 보간 기법의 혼합을 통한 화질 열화 제거 기법을 제안한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.4
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• pp.18-28
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• 1997

This paper presents image data compression using a classified vector quantization (CVQ) which categories edge blocks according to the energy distribution of subimages in the discrete cosine transform domain. Classifying the edge blocks enhances visual quality of the compressed images while maintaining a high compression ratio. The proposed classification method categories subimages into eight lypes of edge features according to an energy distribution. A neural network, trained with the data generated from the proposed classification method, can successfully classify subimages to eight edge categories. Experimental results are given to show how the (1VQ method incorporatd with a neural network can produce faithful compressed image quality for high compression ratios.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.312-313
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• 2012

본 논문에서는 고해상도 팬크로매틱 영상과 저해상도 다중분광 영상을 융합하기 위하여 고해상도 팬크로매틱 영상에서 MRF 모델링을 기반으로 에지 방향 정보를 추출하는 방식파 추출된 에지 방향 정보 및 고해상도 팬크로매틱 영상의 기울기 정보를 이용하여 위성영상을 융합하는 방법을 제안한다. 에지 방향 추출은 레이블링(labeling) 문제로 다루어 처리하는데, 이는 MRF 모델링을 통하여 에너지 함수를 설계하고 최소화시킴으로써 풀 수 있다. 또한 고해상도 다중분광영상 합성 시, 저해상도 다중분광영상의 픽셀 값을 정계조건으로 하고 팬크로매틱의 기울기 및 에지 정보를 이용하여 선형방정식을 세워서 풀어내는데, 이를 용하여 색상왜곡을 줄일 수 있으며 영상의 세부 부분을 더 잘 표현할 수 있다 실험 결과, 제안하는 방법이 기존방식에 비하여 좋은 성능을 보임을 확인할 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.3C
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• pp.262-270
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• 2008

We propose a technique to protect digital images using the magnitude and orientation of their edges. The proposed technique uses the content-associated copyright message generated by combining the original copyright message with the magnitude and orientation of some edges of a digital image. It enables the distribution of the original copyright message without any distortion of original digital images by avoiding embedment of the original copyright message into images. In addition to the advantage in the image quality, it also has a relatively low computational complexity by using simple operations to generate the content-associated copyright message. To verify the proposed technique, we performed experiments on its robustness to the external attacks such as histogram equalization, median filtering, rotation, and cropping. Experimental results on restoring the copyright message from images distorted by attacks show that more than 90%, on the average, can be recovered.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4C
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• pp.363-370
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• 2009

Image interpolation addresses the problem of generating a high-resolution image from its low-resolution version. Classical linear interpolation algorithms are simple and popular, but they produce interpolated image with blurred edges and annoying artifacts, Thus, many edge-based interpolation algorithms have been proposed to improve the subjective quality of the interpolated image, especially around edges on the image. In this paper, we propose a new interpolation algorithm which uses edges extracted from binary image. The proposed algorithm is applied to the image after interpolating using 6-Tap FIR filter. The values of interpolation pixels on edges extracted from binary image are modified using neighborhood pixels on the same edge. Experimental results for various images show that the proposed method provides better performance than existing methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.549-555
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• 2006

An edge detection is an very important area in image processing and computer vision, General edge detection methods (Robert mask, Sobel mask, Kirsh mask etc) are a good performance to detect step edge in a image but are no good performance to detect step edge in a noses image. We suggested a step edge detection method based on image information measure and neutral network. Using these essential properties of step edges, which are directional and structural and whose gray level distribution in neighborhood, as a input vector to the BP neutral network we get the good result of proposed algorithm. And also we get the satisfactory experimental result using rose image and cell images an experimental and analysing image.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.1-12
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• 2008

This paper presents automatic moving object detection method using the rotating camera covering larger area with a single camera. The proposed method is based on the edge segment matching which robust to the dynamic environment with illumination change and background movement. The proposed algorithm presents an edge segment based background panorama image generation method minimizing the distortion due to image stitching, the background image generation method using Generalized Hough Transformation which can reliably register the current image to the panorama image overcoming the stitching distortions, the moving edge segment extraction method that overcome viewpoint difference and distortion. The experimental results show that the proposed method can detect correctly moving object under illumination change and camera vibration.

• Journal of Korea Multimedia Society
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• v.8 no.2
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• pp.174-180
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• 2005

Points of sharp variations in image are the most important components when we analyze the features of image. And they include a variety of information about image's shape and location etc. So a lot of researches for detecting edges have been continued. Edge detection operators which were used at the early stage of the research were to utilize relations among neighboring pixels. These methods detect edge at all boundaries, therefore they perform edge detection twice about curves below some width such as line-edge. In the meantime, wavelet transform which is presented as a new technique of signal processing field provides multiscale edge detection and is being applied widely in many fields that analyze edge-like characteristic. Therefore, in this paper we detected line-edge with new 2-D wavelet function which is independent of line's width.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.315-322
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• 2006

Ant Colony System(ACS) is easily applicable to the traveling salesman problem(TSP) and it has demonstrated good performance on TSP. Recently, ACS has been emerged as the useful tool for the pattern recognition, feature extraction, and edge detection. The edge detection is wifely utilized in the area of document analysis, character recognition, and face recognition. However, the conventional operator-based edge detection approaches require additional postprocessing steps for the application. In the present study, in order to overcome this shortcoming, we have proposed the new ACS-based edge detection algorithm. The experimental results indicate that this proposed algorithm has the excellent performance in terms of robustness and flexibility.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.315-318
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• 2001

본 논문에서는 DTV 수상기에서 전송 받은 영상을 원하는 크기로 디스플레이 하기 위해 필요한 포맷 변환에 관한 알고리즘을 제시한다. 포맷 변환을 할 때에 영상을 보간하면 영상의 품질이 떨어지는 것을 볼 수 있는데 특히 에지 부분이 눈에 민감한 특성을 생각한다면 에지 부분에서의 무뎌짐은 상당한 문제점이 된다. 이를 해결하기 위해 고역 통과 필터링을 해주어 영상의 선명도를 올려줄 수 있는데 영상 전체에 고역 통과 필터링을 해주게 되면 영상의 에지뿐만 아니라 잡음 신호까지도 같이 증폭되는 문제점이 나타난다. 따라서 이를 해결하기 위해 에지 부분만을 적응적으로 고역 통과 필터에 통과시켜 잡음 성분은 줄이면서 에지 부분의 선명도는 올려주는 알고리즘을 제시하였다. 이를 검증하기 위해 다양한 영상에 대하여 컴퓨터 모의 실험을 하였고, 결과를 기존의 방법들과 비교하여 알고리즘의 우수성을 확인하였다.