• Journal of Institute of Control, Robotics and Systems
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• v.8 no.6
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• pp.462-467
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• 2002

A new approach for reducing the blocking artifact is proposed in this paper. This method can be applied to conventional transform coding, without introducing additional information or significant blurring. Main drawbacks of the Discrete Cosine Transform(DCT) are visible block boundaries due to coarse quantization of the coefficients. Therefore, restoration techniques result in unnecessary blurring of the image. The proposed deblocking algorithm is based on the heuristic approach for edge detection. All edges of the standard still images are categorized, and the best edges are selected. Several images are used fer experiments, and several other previous algorithms are compared with the proposed approach. The results show that the proposed algorithm works better than those of other previous researches. This algorithm can be used for JPEG, MPEG, and H.261 standard images.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.389-391
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• 2007

This paper describes about the printed character segmentation and recognition system for slabs in steel manufacturing process. To increase the recognition rate, it is important to improve success rate of character segmentation. Since Slabs front area surface are not uniform and surface temperature is very high, marked characters not only undergo damages but also have much noise. On the other hand, since almost marked characters are very thick and the space between characters is only about 10 $^{\sim}$ 15 mm, there are many touching characters. Therefore appropriate character image preprocessing and segmentation algorithm is needed. In this paper we propose a multi-local thresholding method for damaged character restoration, a modified touching character segmentation, algorithm for marked characters. Finally a effective Multi-Class SVM is used to recognize segmented characters.

• Science of Emotion and Sensibility
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• v.1 no.2
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• pp.93-103
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• 1998

효율적이고 체계적인 퍼지제어를 위해 조작자의 제어동작을 모델링하거나 공정을 모델링하는 기법이 필요하고, 또한 퍼지 추론시에 조건부의 기여도(contribution factor)의 결정과 동작부의 제어량의 결정이 추론의 결과에 중요하다. 본 논문에서는 추론시 조건부의 기여도와 동작부의 세어량이 퍼지 엔트로피의 개념하에서 수행되는 적응 퍼지 추론시스템을 제시한다. 제시된 시스템은 전방향 신경회로망의 토대위에서 구현되며 주건부의 기여도가 퍼지 엔트로피에 의하여 구해지고, 동작부의 제어량은 확장된 퍼지 엔트로피에 의하여 구해진다. 이를 위한 학습 알고리즘으로는 역전파 알고리즘을 이용하여 조건부의 파라미터의 동정을 하고 동작부 파라미터의 동정에는 국부해에 보다 강인한 유전자 알고리즘을 이용하다. 이러한 모델링 기법을 임펄스 잡음과 가우시안 잡음이 첨가된 영상에 적용하여 본 결과, 영상복원시에 발생되는 여러 가지의 경우에 대한 적응성이 보다 양호하게 유지되었고, 전체영상의 20%의 데이터만으로도 객관적 화질에 있어서 기존의 추론 방법에 비해 향상을 보였다.

• Convergence Security Journal
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• v.5 no.2
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• pp.43-50
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• 2005

This paper is about the method that chases the Linux kernel backdoor intruder and copes with the kernel backdoor attack. We have a limit to trace the hacker with the current log analysing method because the hacker generally removes the log file and use the forge IP information. I propose the solution to solve the problem with the DeFor system. Through the restoration of the deleted log file, analysis of it and full HDD image, promptly quick response, it is possible to trace hacker spot and reduce hacking damage.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2001.05a
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• pp.247-251
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• 2001

영상을 처리하는 과정에서 광학시스템과 전기시스템의 특성으로 인해 흐려지고 잡음으로 훼손된 영상을 복원하는 경우에 일반적으로 정칙화 반복복원방법이 사용된다. 기존의 방법은 영상의 국부적인 특성을 고려하지 않고 영상전체에 일률적으로 정칙화 연산자를 사용함으로써 윤곽부분에서는 리플잡음을 초래하고 평면부분에서도 잡음증폭을 피할 수 없으며, 또한 시각적으로 효율적이지 못한 면이 있다. 본 논문에서는 이러한 문제점을 개선하기 위하여, 영상의 국부적인 특성을 고려하여 적응 정칙화 파라메타와 적응 정칙화 연산지를 사용하여 평면영역과 윤곽영역의 방향특성에 따라 적응적으로 처리하는 반복복원방법을 제안한다. 제안한 방법은 기존의 방법과 비교하여 평면영역에서의 잡음 평활화가 개선되고 시각적으로 중요한 윤곽부분 복원에 효율적임을 실험결과를 통해 알 수 있었으며 ISNR 면에서도 우수하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.643-645
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• 2002

본 논문은 영상의 isophote정보를 constraint로 사용만 유전자 알고리즘 (Genetic Algorithms) 기반의 컬러 영상 복원방법을 제안한다. 제안만 방법은 오염된 관측 영상으로부터 원 영상으로 복원하기 위해. 영상 복원 문제인 illposed 문제를 유전자 알고리즘을 이용하여 비용함수(cost funcition)가 최소가 되도록 하는 최적화 문제로 모델링 한다. 본 논문에서 제안만 방법은 영상에서 같은 밝기 값을 가진 영역의 경계선을 나타내는 isophole 를 비용함수의 정칙화(regularization) 연산자로 사용하여 영상을 복원한다. 사용자가 복원할 영역을 지정만 후, 유전자 알고리즘을 사용하여 복원될 영역치 isophote 를 자연스럽게 유지하도록 복원한다. 제안한 방법은 디지털 비디오에서 상업적인 광고나, 자막 측은 로고등을 제거하는데 사용될 수 있으며, 실험 결과, 일반적으로 영상 복원에 많이 사용하는 Constraint 로 라플라시안(Laplaoian) 연산자보다 isophote를 정칙화 연산자로 사용함으로써 효율적으로 영상이 복원됨을 알 수 있다.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.1
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• pp.59-64
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• 1997

By using a selective learnable self-organizing feature map(SOFM) a more practical and generalized mehtod is proposed in which the effective nonlinear shape restoration is possible regardless of the existence of the distortion modelss. Nonlinear mapping relation is extracted from the distorted imate by using the proposed selective learning SOFGM which has the special property of effectively creating spatially organized internal representations and nonlinear relations of various input signals. For the exact extraction of the mapping relations between the distorted image and the original one, we define a disparity index as a proximal nmeasure of the present state to the final idealy trained state of the SOFM, and we used this index to adjust the training of the mapping relations form the weights of the SOFM. Simulations are conducted on various kinds of distorted images with or without distortion models, and the results show that the proposed method is very efficeint very efficient and practical in nonlinear shape restorations.

• Journal of International Society for Simulation Surgery
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• v.1 no.2
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• pp.83-86
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• 2014

Purpose This paper was purposed to suggest the method to produce the supportive helmet (head correction) for the infants who are suffering from plagiocephaly and to evaluate the level of transformation through 3D model. Method Either of CT or X-ray restored images has been used in making the supportive helmet (Head correction) in general, but these methods of measuring have problems in cost and safety. 3D surface measurement technology was suggested to solve such matters. Results It was to design the transformed model of the head within 0.7cm in average by scanning the surface of head and performing 3D restoration with marching cube and the changing rate of the head was compared in numerical data with 3D model. Conclusion The suggested methods displayed the better performance than the conventional method in respect of the speed and cost.

• Journal of Digital Contents Society
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• v.5 no.1
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• pp.79-86
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• 2004

In this paper we implemented the Real Time Contrast Enhancer for image quality enhancement of moving picture. Also we proposed adaptive contrast method that use mean and variance of input video signal. The Designed the contrast Enhancer is measured in comparison with conventional picture and interfaced to 30inch TFT LCD TV of the LG Electronics.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.3
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• pp.104-115
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• 2007

As soon as an intrusion is detected by kernel backdoor, the proposed method can be preserve secure and trustworthy evidence even in a damaged system. As an experimental tool, we implement a backup and analysis system, which can be response quickly, to minimize the damages. In this paper, we propose a method, which can restore the deleted log file and analyze the image of a hard disk, to be able to expose the location of a intruder.