• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.309-315
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• 2009

Image reconstruction of Inverse Fourier Transform after Frequency Domain Data is filtered applies to Image signal acquired from MR. There are various kinds of image processing techniques; image preprocessing, image reconstruction, image compression, image restoration image mixture, noise and artifact elimination, and image quality improvement. In this paper, optimum filter applicable to diagnosis in clinic by comparing and analyzing the characteristics of the filter will be explained. Fermi-Dirac filter will improve the image quality better than the previous MR image.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.954-956
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• 2017

본 연구에서는 X-선 영상을 이용한 비산란 그리드의 검사 자동화 시스템에서, 결함후보 ROI에 대한 판단정확도를 향상시킬 수 있는 최적영상 획득을 위한 임계치결정 기법을 제안한다. 주파수 도메인에서 영상히스토그램을 분석 및 재구성한 후 최적임계치의 결정에 필요한 요소를 추출하며, 재구성 히스토그램으로부터 영상패턴을 판단하여 각 유형에 따른 최적 임계치를 결정한다. 50개의 영상에 적용한 실험 결과 제안된 방법은 4.8/5.0의 성능 (Inter-class correlation, ICC: 0.985, 95% CI, p-value<0.05)을 보였다.

• Journal of Korea Multimedia Society
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• v.12 no.2
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• pp.209-218
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• 2009

3D backprojection is a kind of reconstruction algorithm to generate volume data consisting of tomographic images, which provides spatial information of the original 3D data from hundreds of 2D projections. The computational time of backprojection increases in proportion to the size of volume data and the number of projection images since the value of every voxel in volume data is calculated by considering corresponding pixels from hundreds of projections. For the reduction of computational time, fast GPU based 3D backprojection methods have been studied recently and the performance of them has been improved significantly. This paper presents two multiple GPU based methods to maximize the parallelism of GPU and compares the efficiencies of two methods by considering both the number of projections and the size of volume data. The first method is to generate partial volume data independently for all projections after allocating a half size of volume data on each GPU. The second method is to acquire the entire volume data by merging the incomplete volume data of each GPU on CPU. The in-complete volume data is generated using the half size of projections after allocating the full size of volume data on each GPU. In experimental results, the first method performed better than the second method when the entire volume data can be allocated on GPU. Otherwise, the second method was efficient than the first one.

• Journal of Digital Contents Society
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• v.12 no.2
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• pp.151-156
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• 2011

The analysis and image evaluation the Ray-sum technique and Shaded Surface Display (under SSD) technique which is the reconstruction image processing technique after the CT scan was evaluated and the usability of the three-dimensional information offering was confirmed in the patient with stomach cancer. After obtaining the raw data by using 64-MDCT in 20 patient with stomach cancers, the image reconstruction processing was done. It was evaluated to describe accurately the analyzed result Ray-sum and SSD reconstruction image everyone anatomical structure. In the precision estimation of the image, the lesion location could coincide in the Ray-sum and SSD reconstruction image majority with the gastro fiberscope and we can know than the gastro fiberscope over 6cm that there was the error. In addition, We could know that degree of accordance of the results of the image interpretation about the lesion and endoscope and pathological opinion were high.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.903-906
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• 2001

점진적 전송 방식은 낮은 해상도의 영상에서부터 점진적으로 더 높은 해상도의 영상으로 전송이 진행되는 동안 수신측에서 전송된 저해상도의 영상으로 영상의 가치를 판단하여 나머지 부분의 전송을 진행하거나 취소 할 수 있어 제한된 전송 대역을 효과적으로 이용할 수 있다. 본 논문에서는 영상의 점진적 전송을 실현하기 위하여 영상을 비트플랜으로 분리한 후 각 플랜에 대하여 상보 쿼드트리 구조로 재구성한 후 적절한 순서에 따라 데이터를 전송하여 전송 초기단계에 영상의 내용을 대체적으로 파악할 수 있도록 하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.21-31
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• 2017

In this paper, the Zynq system-on-chip (SoC) platform is used to design an adaptive noise reduction and edge-detection system using partial reconfiguration. Filters are implemented in a partially reconfigurable (PR) region to provide high computational complexity in real-time, 1080p video processing. In addition, partial reconfiguration enables better utilization of hardware resources in the embedded system from autonomous replacement of filters in the same PR region. The proposed edge-detection system performs adaptive noise reduction if the noise density level in the incoming video sequences exceeds a given threshold value. Results of implementation show that the proposed system improves the accuracy of edge-detection results (14~20 times in Pratt's Figure of Merit) through self-reconfiguration of filter bitstreams triggered by noise density level in the video sequences. In addition, the ZyCAP controller implemented in this paper enables about 2.1 times faster reconfiguration when compared to a PCAP controller.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.2 s.308
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• pp.63-71
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• 2006

Denoising and reconstruction of color images are extensively studied in the field of computer vision and image processing. Especially, denoising and reconstruction of color face images are more difficult than those of natural images because of the structural characteristics of human faces as well as the subtleties of color interactions. In this paper, we propose a denoising method based on PCA reconstruction for removing complex color noise on human faces, which is not easy to remove by using vectorial color filters. The proposed method is composed of the following five steps: training of canonical eigenface space using PCA, automatic extraction of facial features using active appearance model, relishing of reconstructed color image using bilateral filter, extraction of noise regions using the variance of training data, and reconstruction using partial information of input images (except the noise regions) and blending of the reconstructed image with the original image. Experimental results show that the proposed denoising method maintains the structural characteristics of input faces, while efficiently removing complex color noise.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.895-897
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• 2004

3차원 모델 재구성 방법 중 하나는 평행한 2차원 영상위의 외곽선들을 이용하여 본래의 기하정보를 복원하는 것이다. 표면 재구성 과정은 크게 대응관계 결정, 타일화, 분기처리로 이루어진다. 단순한 외곽선의 쌍인 경우에는 간단한 방법으로 기하정보를 생성할 수 있으나, 하나의 외곽선이 인접 슬라이스의 여러 외곽선으로 분기되는 경우는 처리가 쉽지 않다. 본 논문에서는 분기가 있는 복잡한 외곽선의 쌍으로부터 본래의 형상을 재구성하는 알고리즘을 제안한다. 먼저 외곽선의 각 정점에 대응하는 인접 외곽선의 최단거리 정점들을 찾아서 기본영역을 타일화 하고 남은 부분(클레프트)들은 대응하는 잔여 정점들의 중점을 찾아 타일화 한다. 이렇게 함으로써 여러 개로 분기된 외곽선을 본래의 형상으로 재구성 할 수 있으며 이를 실험을 통하여 확인하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.375-377
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• 2013

텔레프레즌스 시스템은 기존의 영상회의 시스템과 비교하여, 라이프 사이즈의 출력, 고품질의 영상 및 음성 출력을 가능하게 함으로써 참석자로 하여금 실제 회의에 참석하고 있는 듯한 몰입도를 제공하여 원거리의 출장을 대체할 수 있는 시스템이다. 기존의 텔레프레즌스 시스템은 각 클라이언트의 미디어 정보를 중앙 서버에서 취합, 재구성하여 각각의 클라이언트로 전달하는 구조를 갖는다. 이러한 구조는 기능의 구현은 용이하나 모든 트래픽이 서버로 집중되어 서버가 설치되어 있는 통신 노드에 부하가 집중되는 단점을 갖는다. 이러한 문제점을 해결하기 위해 중앙 서버의 호처리 기능과 미디어 처리 기능을 통신망에 분산시키는 구조가 분산형 텔레프레즌스 구조이며, 분산 구조 하에서 각각의 클라이언트는 기존의 중앙 서버에서 처리되었던 미디어의 재구성 기능, 텔레프레즌스 서비스를 위한 고품질의 비디오 및 오디오 처리 기능, 협업을 위한 문서 공유 기능 등이 요구된다. 본 논문에서는 분산형 구조에서 요구사항을 만족하는 텔레프레즌스 클라이언트 시스템의 구현 방법에 대하여 기술한다.

• Journal of the Institute of Convergence Signal Processing
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• v.7 no.4
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• pp.169-177
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• 2006

In this paper, we present an efficient image reconstruction method which is suited to remove various noise generated from measurement using X-ray attenuation. To be specific, we present a wavelet method to efficiently remove ring artifacts, which are caused by inevitable mechanical error in X-ray emitters and detectors. and streak artifacts, which are caused by general observation errors and Fourier transform-based reconstruction process. To remove ring artifacts related noise from projections, we suggest to estimate the noise intensity by using the fact that the noise related to ring artifacts has a strong correlation in the angle direction, and remove them by using wavelet shrinkage. We also suggest to use wavelet-vaguelette decomposition for general-purpose noise removal and image reconstruction. Through simulation studies. we show that the proposed method provides a better result in ring artifact removal and image reconstruction over the traditional Fourier transform-based methods.