• Journal of Korea Multimedia Society
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• v.16 no.5
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• pp.647-656
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• 2013

The desire of humankind that longed for reappearance of visual makes progress within the development of linear history. The directing point at the moment was the 'eye'. Upon completion of setting the aiming point, visual image attempts reflection of main agent beyond reappearance of it and, by extension, aimed to visualize desire which was latent in the instance of main agent. It was able to experience a fantasy in paintings, photos and movies as a stage of desire, of course. Digital, however, suggested a new phasis in creating a fantasy world. This study aimed to research the fantastic nature in digital image that a fantastic image is created as a reflection of both independence and unconsciousness. As a result of research, this study revealed that digital image, as a channel that image and imaginative desire which were saved in id, is created as a perfect stage on the basis of verisimilitude, granting an experience toward realization of desire to a main agent raising id which was repressed by the ego and superego to the surface.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.1
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• pp.15-21
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• 2007

We propose a 3D modeling method for surface inspection of non-constant velocity moving object. 1'lie laser lines reflect tile surface curvature. We can acquire 3D surface information by analyzing projected laser lines on object. In this paper, we use multi-line laser to improve the single stripe method and high speed of single frame. Binarization and edge extraction of frame image were proposed for robust laser each line extraction. A new labeling method was used for laser line labeling. We acquired some feature points for image matching from the frame data and juxtaposed the frames data to obtain a 3D shape image. We verified the superiority of proposed method by applying it to inspect container's damages.

• Proceedings of the Korean Society for Information Management Conference
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• 2006.08a
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• pp.207-213
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• 2006

다매체, 다채널이라는 시대적 흐름 속에 영상콘텐츠의 수요가 크게 증가함에 따라 방송영상자료의 디지털화는 그 중요성이 더욱 커지고 있다. 그러므로 기존 방송영상자료의 디지털 변환작업을 통해 물리적인 한계 및 보존상의 어려움을 해결하고 접근의 용이성을 높일 수 있도록 디지털 방송영상아카이브의 구축을 통한 지원체계가 마련되어야 한다. 따라서 본 연구에서는 국내외 사례연구를 통해 분석한 내용과 국내 보존현황 및 요구조사의 결과를 반영하여 국내 실정에 맞는 디지털 방송영상아카이브의 구축모형을 제안하고자 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.149-152
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• 1998

정보통신 기술이 급격히 발달함에 따라 영상처리 및 압축 기술에 대한 중요성이 대두되고 있다. 현재 정지 압축 영상 표준인 JPEG과 동영상 압축 표준인 MPEG에서는 통계적 특성에 기반한 DCT 방법을 이용하여 압축을 수행하고 있다. 최근에는 웨이브렛 변환을 이용한 영상신호 처리 및 압축에 관한 연구가 활발히 이루어지고 있는데, 이는 기존의 DCT 방법과는 달리 속도와 압축률이 뛰어나며 블록화 현상(Blocking Effect)이 발생하지 않기 때문이다. 또한 웨이브렛 자체가 함수이고 이러한 함수에 다른 스케일과 해상도를 적용하는것이므로, 영상을 확대하거나 축소하더라도 이미지에 손상을 주지 않고 복원할 수 있다. 스테레오 이미지는 사람의 시각에서 물체를 보는 것처럼, 카메라에서 같은 장면을 약간의 차이를 두어 찍은 것이다. 따라서 오른쪽과 왼쪽의 두 이미지로 나누어지게 되는데, 이 두 이미지 사이에서 공통 부분이 많다는 특징을 가지게 된다. 따라서 두 이미지의 공통 부분을 찾아 내고, 이를 이용하여 압축을 할 수 있다면 압축률을 높일 수 있다. 본 연구에서는 웨이브렛 변환을 이용하여 스테레오 이미지에서의 공통 부분을 찾고 영상을 효율 岵막\ulcorner 압축하는 방법에 대하여 연구한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.217-223
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• 2004

In block-based lossy video compression, severe quantization causes discontinuities along block boundaries so that annoying blocking artifacts are visible in decoded video images. These blocking artifacts significantly decrease the subjective image quality. In order to reduce the blocking artifacts in decoded images, many algorithms have been proposed. However studies on so called comer outlier, have been very limited. Corner outliers make image edges look disconnected from those of neighboring blocks at cross block boundary. In order to solve this problem we propose a corner outlier detection and compensation algorithm as loop-filtering in spatial domain. Experiment results show that the proposed method provides much improved subjective image quality.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.05a
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• pp.246-249
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• 2001

본 연구는 온라인 지문 인식 기법의 속도 향상을 주목적으로 하여 기존의 지문 인식 기법과 비교하여 개선된 전처리 방법을 이용하여 적은 계산량으로 보다 높은 정확도를 확보하여 궁극적으로 지문 인식 및 대조 시스템이 적합한 특징점 추출 알고리즘 개발을 목적으로 한다. 먼저 방향성이미지에서 방향성추출에서는 4$\times$4화소를 하나의 Block으로 나눈 후, 3$\times$3의 Sobel 연산자를 이용하였고, 이 방향성 정보를 이용하여 지문영상의 품질 측정과 배경 분리를 하였으며, 또한 부분 영역간의 밝기 차이 등으로 발생하는 오류를 최소화하기 위하여 이진화 수행 과정에서 가장 애로점인 임계치(threshold value) 설정을 지문의 대상 영역의 밝기 등에 적응하여 스스로 변하도록 할 수 있게 Slit sum의 방법을 응용한 적응 이진화를 하였다. 세선화와 특징점 추출에서는 VHN(Vertical & horizontal Number)값을 이용하여 보정(Interpolation)효과를 주어 오류특징점을 배제하고, 자동 지문 인식 시스템의 인식성능을 향상시켰다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.20 no.11
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• pp.1138-1144
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• 2009

The velocity and acceleration of the ground moving target can cause the target position to be displaced and defocused in the SAR image. In this paper, the displacement compensation scheme is presented to correct the displaced position and defocused moving target image in the DPCA based SAR-GMTI system. The influence of the ground moving target due to the velocity and acceleration is analyzed in range and azimuth directions, and its compensation method is presented with the simulation results. The performance of the proposed method is compared with respect to the estimated velocity and defocused quantity in both range and azimuth directions.

• Journal of IKEEE
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• v.19 no.2
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• pp.155-159
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• 2015

In this paper, we propose a method for pedestrian detection in real time video and reducing the calculation time of the HOG features for pedestrian detection. When the pedestrian is detected in real-time image, the next frame is detected by using a previously detected region information. In addition, we used a PSO to detect a pedestrian may appear in a region other than a pedestrian is detected quickly. the performance was measured for MIT, INRIA dataset, showed a performance increase of about 82% than the conventional method.

• The Journal of the Acoustical Society of Korea
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• v.36 no.5
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• pp.361-369
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• 2017

Hemodynamic information in the carotid artery bifurcation is very important for understanding the development and progression mechanisms of cerebrovascular disease and for its early diagnosis and prediction of the progress. In this paper, we constructed a mock pulsatile blood circulation system using an anthropomorphic elastic vessel of the carotid artery bifurcation and ex vivo pig blood to acquire ultrasound images from blood and vessels synchronized with internal pressure while controlling the blood flow. Echogenicity, blood flow velocity, and blood vessel wall motion from the ultrasound images, and internal blood pressure were extracted over a cycle averaged from five cycles when the pulsatile pump rates are 20 r/min, 40 r/min, and 60 r/min. As a result, respectively, the peak systolic blood flow velocities were 20 cm/s, 25 cm/s, and 40 cm/s, the blood pressure differences were 30 mmHg, 70 mmHg, and 85 mmHg, the arterial walls were expanded to 0.05 mm, 0.15 mm, and 0.25 mm. Time-delayed cyclic variation of echogenicity compared to blood flow and pressure was observed, but the variation was minimal at 20 r/min. Time-synchronized cyclic variations of these parameters are important information for accurate input parameters and validation of the computational hemodynamic experiments which will provide useful information for the development and progress mechanisms of carotid artery stenosis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2927-2936
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• 2013

In this paper, we propose a noise reduction and hole removal algorithm in order to improve the quality of depth images when they are used for creating 3D contents. In the proposed algorithm, the depth image and the corresponding color image are both used. First, an intensity image is generated by converting the RGB color space into the HSI color space. By estimating the difference of distance and depth between reference and neighbor pixels from the depth image and difference of intensity values from the color image, they are used to remove noise in the proposed algorithm. Then, the proposed hole filling method fills the detected holes with the difference of euclidean distance and intensity values between reference and neighbor pixels from the color image. Finally, we apply a parallel structure of GPGPU to the proposed algorithm to speed-up its processing time for real-time applications. The experimental results show that the proposed algorithm performs better than other conventional algorithms. Especially, the proposed algorithm is more effective in reducing edge blurring effect and removing noise and holes.