• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.2
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• pp.76-82
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• 2017

Malware, including ransomware to quickly detect, in this study, to provide an analysis method of malicious code through the image analysis that has been learned in the deep learning of artificial intelligence. First, to analyze the 2,400 malware data, and learning in artificial neural network Convolutional neural network and to image data. Extracts subgraphs to convert the graph of abstracted image, summarizes the set represent malware. The experimentally analyzed the malware is not how similar. Using deep learning of artificial intelligence by classifying malware and It shows the possibility of accurate malware detection.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.460-462
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• 2001

컴퓨터 이미지처리는 여러 분야에서 응용되고 있는데 어떤 특성을 만족하는 객체들의 계수를 자동으로 분류시키는 생물학분야, 편지봉투나 일반양식에 인쇄되어 있는 글자를 자동으로 검출하고 인식하며 초음파검사 혹은 X-Ray 촬영에서 이미지를 획득하여 향상시키는 의료분야, 지문 및 얼굴인식 등에 이용되고 있다. 최근 몇 년 동안 이미지인식, 형태론, 이미지데이터 압축에 관한 연구가 진전되면서 본 연구에서 형태론적인 기법을 사용하여 문자인식을 위한 전처리 혹은 후처리 단계에서 사용되는 이미지향상을 위해서 팽창, 침식, 골격화의 3단계를 적용하고 기존의 연구 방법과 비교하여 이미지획득 시간을 줄이고 이미지를 향상시켰다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.210-213
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• 2004

히스토그램 평활화는 이미지의 Contrast를 향상시키는데 그 효율성과 단순성 때문에 매우 유용하게 사용되는 알고리즘이다. 본 논문에서는 로컬 히스토그램 평활화 기법에 Genetic Algorithm(GA)을 적용하는 방법을 제안하고 있다. 본 연구에서는 기존 히스토그램 평활화 기법이 결과 이미지에 대한 평가가 없기 때문에 단일 결과만을 생성한다는 단점을 보안하기 위해 객관적인 이미지의 평가기준을 제시하였고, 이 평가기준을 이용한 GA를 통해 목적에 근접한 향상된 이미지를 획득하였다. 마지막으로, 제안하고 있는 알고리즘의 우수성을 증명하기 위해 다른 향상 기법(Global Histogram Equalization, Partially Overlapped Sub-Block Histogram Equalization)과의 비교를 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.257-258
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• 2017

머신러닝 기법을 다양한 분야에 사용되는 연구가 한창이다. 본 논문에서는 악성 코드의 분류 시스템에 머신러닝 기법을 적용하였다. 악성 코드 파일을 적당한 크기로 이미지화하여 텐서 플로우의 인셉션 V3에 적용하였다. 실험 결과, 이미지의 사이즈 조정과 파라미터 조정을 통해 매우 만족할 만한 수준으로 악성 코드를 잘 분류함을 확인할 수 있었다.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.199-208
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• 2008

Lately, since Complementary Metal Oxide Semiconductor(CMOS) image sensor system has low power, low cost and been miniaturized, hardware and applied software studies using these strengths are being carrying on actively. However, the products equipped with CMOS image sensor based polling method yet has several problems in degree of completeness of applied software and firmware, compared with hardware’s. CMOS image sensor system has an ineffective synchronous problem due to superfluous message exchange. Also when a sending of data is delayed continually, overhead of re-sending is large. So because of these, it has a problem in structural stability according to Polling Method. In this study, polling cycle was subdivided in high-speed synchronization method of firmware -based through MCU and synchronization method of Stepwise was proposed. Also, re-connection and data sending were advanced more efficiently by using interrupt way. In conclusion, the proposed method showed more than 20 times better performance in synchronization time and error connection. Also, a board was created by using C328R board of CMOS image sensor-based and ATmega128L which has low power, MCU and camera modules of proposed firmware were compared with provided software and analyzed in synchronization time and error connection.

• Sijohaknonchong
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• v.44
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• pp.75-103
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• 2016

The purpose of this study is to demonstrate that the main creative attitude in Lee Eun-sang's Sijo relies upon the juxtaposition technique, with paying attention to juxtaposition of being found in the works of being put in the Nosan Sijojip(時調集, collection of Sijo poems), and that this creative attitude provides readers with the easiness for understanding. A type in the juxtaposition technique, which was shown in "Nosan Sijojip", was divided in the dimension of the anaphora in a meaning and the confrontation in a meaning. The anaphora of a meaning was classified into synonymous juxtaposition, comprehensive juxtaposition, specific juxtaposition and syntactic juxtaposition. The confrontation of a meaning was examined in the contradictory juxtaposition. Most of Lee Eun-sang's works are applying this juxtaposition technique. Also, the dynamic of image, which is indicated in juxtaposition, is what was influenced by the British and American imagism. This study will be able to solve problems that modern Sijo has to some extent, and will be helpful even for acquiring the identity in Sijo.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.179-184
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• 2009

Robust face recognition under various illumination environments is difficult to achieve. For face recognition robust to illumination changes, usually face images are normalized with respect to illumination as a preprocessing step before face recognition. The anisotropic smoothing-based illumination normalization method, known to be one of the best illumination normalization methods, cannot handle casting shadows. In this paper, we present an efficient illumination normalization method for face recognition. The proposed illumination normalization method separates the effect of illumination from eigenfaces and constructs an illumination-separated eigenface subspace. Then, an incoming face image is projected into the subspace and the obtained projected face image is rendered so that illumination effects including casting shadows are reduced as much as possible. Application to real face images shows the proposed illumination normalization method.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.805-808
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• 2005

엔트로피부호화(entropy coding)는 텍스트와 같은 일반적인 데이터들을 효율적으로 압축하는 반면에, 이미지 데이터들에 대해서는 그 성능이 다소 저하된다. 본 논문에서는 이러한 단점을 개선시키기 위한 효율적인 전처리기법(preprocessing technique)을 소개한다. 제안한 전처리기법은 입력된 명암도 등급 이미지를 무손실 압축하기 이전에, 이미지 내에서 인접한 명암도 값들의 발생빈도(occurrence frequency)를 조사한다. 다음으로 각 픽셀 쌍들의 명암도 값들을 발생빈도에 기반한 순서화된 값(ordered number)들로 대체시킨 후, 최종적으로 엔트로피부호화에 의한 압축을 수행한다. 이와 같은 단계들을 거치면서 이미지 데이터의 통계적인 특성(statistical feature)이 보다 강화되기 때문에, 엔트로피부호화에서의 무손실 압축 성능을 효율적으로 개선시킬 수 있다. 실험을 통하여 256 명암도 등급 이미지들을 산술부호화와 허프만부호화를 사용하여 압축한 결과, 제안한 전처리기법이 압축 후 비트율(bit rate)을 최대 37.49%까지 감소시켰음을 확인하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.201-207
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• 2015

The smartphone with camera can easily generate an image instead of a scanner. However the document image through a smartphone can have distortions related rotation or perspective. In this paper, we proposed a method to generate the document image in that distortions are reduced from the captured document image through a smartphone. For this, the original document image through a smartphone is preprocessed using the MSER-b technique to reduce the light effect. Then, the text area contour is extracted using the characteristics of the document image. Lastly, rotation or perspective distortions are reduced using the extracted text area contour. For experiments, the proposed method is compared two other products. Through experiments, we show that the distortions within the captured document image through smartphone can be effectively reduced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4475-4481
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• 2014

A histogram equalization method have been used traditionally for the image enhancement of low quality images. This uses the transformation function, which is a cumulative density function of an input image, and it has mathematically maximum entropy. This method, however, may yield whitening artifacts. This paper proposes the weighted histogram equalization method based on histogram equalization. It has Weber-Fechner's law for a human's vision characteristics, and a dynamic range modification to solve the problem of some methods, which yield a transformation function, regardless of the input image. Finally, the proposed transformation function was calculated using the weighted average of Weber-Fechner and the histogram equalization transformation functions in a modified dynamic range. The simulation results showed that the proposed algorithm effectively enhances the contrast in terms of the subjective quality. In addition, the proposed method has similar or higher entropy than the other conventional approaches.